sentence-transformers safetensors new sentence-similarity feature-extraction generated_from_trainer dataset_size:132576 loss:MatryoshkaLoss loss:MultipleNegativesRankingLoss custom_code en arxiv:1908.10084 arxiv:2205.13147 arxiv:1705.00652 base_model:Alibaba-NLP/gte-base-en-v1.5 base_model:finetune:Alibaba-NLP/gte-base-en-v1.5 license:apache-2.0 model-index autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
base_model: Alibaba-NLP/gte-base-en-v1.5
language:
- en
library_name: sentence-transformers
license: apache-2.0
metrics:
- cosine_accuracy@1
- cosine_accuracy@3
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@3
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@3
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@10
- cosine_mrr@10
- cosine_map@100
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:132576
- loss:MatryoshkaLoss
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: In what circumstances can the permission to pay turnover tax under
    Section 7 of the KGST Act be challenged or rectified?
  sentences:
  - '**1. Key Legal Issues and Holdings:**


    * **Amalgamation of LLPs:** The case revolves around the proposed Scheme of Amalgamation
    of two Limited Liability Partnerships (LLPs), Alps Trade Com LLP (Transferee)
    and Lubstor Trade Com LLP (Transferor), under Section 60-62 of the Limited Liability
    Partnership Act, 2008.

    * **Approval of Scheme:** The main legal issue is the Tribunal''s approval of
    the proposed Scheme of Amalgamation, which involves the transfer of assets, liabilities,
    and rights of the Transferor LLP to the Transferee LLP.

    * **Compliance with LLP Act:** The court considered the compliance of the LLPs
    with the provisions of the Limited Liability Partnership Act, 2008, including
    the requirement for consent from partners, creditors, and other stakeholders.


    **2. Significant Facts of the Case:**


    * The Transferee LLP, Alps Trade Com LLP, has 4 partners, and the Transferor LLP,
    Lubstor Trade Com LLP, has 3 partners.

    * The Transferor LLP has NIL creditors, and the Transferee LLP has one major creditor,
    Yaduka Agrotech Private Limited, which has given its no objection to the proposed
    merger.

    * The Scheme of Amalgamation has been approved by the partners and creditors of
    both LLPs.

    * The Tribunal has dispensed with the requirement of holding separate meetings
    of partners and creditors of both LLPs.


    **3. Court''s Ruling:**


    * The Tribunal has approved the Scheme of Amalgamation under Section 60-62 of
    the Limited Liability Partnership Act, 2008.

    * The Tribunal has dispensed with the requirement of holding separate meetings
    of partners and creditors of both LLPs.

    * The LLPs are required to serve notice to the Registrar of Companies, West Bengal,
    the Official Liquidator, and the Income-Tax Assessing Officer within 7 days from
    the date of the order.


    **4. Citations:**


    * **Limited Liability Partnership Act, 2008** (Sections 60-62)'
  - '**1. Key Legal Issues and Holdings:**


    * **Alternate Method of Taxation:** The case revolves around the applicability
    of the alternate method of taxation under Section 7 of the Kerala General Sales
    Tax Act, 1963.

    * **Section 7 of KGST Act:** The main legal issue is the interpretation of Section
    7 of the KGST Act, which provides for payment of tax at a compounded rate.

    * **Assessment Year:** The court considered the issue of whether the amended provisions
    of the Kerala Finance Act, 2001, which came into effect from 23-7-2001, were applicable
    for Assessment Year 2001-2002.


    **2. Significant Facts of the Case:**


    * The appellant, M/s Varkisons Engineers, is a partnership firm with a crushing
    unit at Kadiyiruppu, Kolenchery, Ernakulam District.

    * The appellant opted to pay turnover tax under Section 7 of the KGST Act for
    Assessment Year 2001-2002.

    * The assessing authority granted permission to the appellant to pay tax under
    Section 7 on 9-4-2001.

    * The Finance Act, 2001, enhanced the rate per machine from Rs 30,000 to Rs 90,000
    from 23-7-2001.

    * The appellant challenged the notice issued under Section 43 of the KGST Act
    seeking to rectify the permission/order dated 9-4-2001 and seeking an enhanced
    rate per machine with effect from 23-7-2001.


    **3. Court''s Ruling:**


    * The Supreme Court set aside the impugned judgment dated 4-10-2007 and restored
    Original Petition No. 1501 of 2003 to the file of the Kerala High Court for de
    novo consideration.

    * The court held that the Surcharge Act, 1957, was not retrospective in operation
    and could not be regarded as law in force at the commencement of the year of Assessment
    1957-1958.

    * The court also referred to the judgment of this Court in CIT v. Isthmian Steamship
    Lines, where it was held that the law to be applied is the law in force in the
    assessment year, unless otherwise stated or implied.

    * The civil appeal stands disposed of accordingly, with all contentions expressly
    kept open.


    **4. Citations:**


    * **State of Kerala v. Builders Assn. of India**, (1997) 2 SCC 183

    * **Mycon Construction Ltd. v. State of Karnataka**, (2003) 9 SCC 583

    * **Mathuram Agrawal v. State of M.P.**, (1999) 8 SCC 667

    * **Karimtharuvi Tea Estate Ltd. v. State of Kerala**, AIR 1966 SC 1385 : (1966)
    60 ITR 262

    * **CST v. Modi Sugar Mills Ltd.**, AIR 1961 SC 1047 : (1961) 2 SCR 189 : (1961)
    12 STC 182'
  - '**1. Key Legal Issues and Holdings:**


    * **Existence of Dispute:** The main legal issue is whether there was an existence
    of dispute prior to the issuance of the Demand Notice dated 11.04.2019.

    * **Section 8 of IBC:** The court considered the application of Section 8 of the
    Insolvency and Bankruptcy Code, 2016, which deals with the requirement of a dispute
    to be raised by the corporate debtor in response to a demand notice.

    * **Admissibility of Corporate Insolvency Resolution Process (CIRP):** The court''s
    ruling affected the admissibility of the CIRP against the corporate debtor.


    **2. Significant Facts of the Case:**


    * The corporate debtor, Triumph Realty Pvt. Ltd., had a pre-existing dispute with
    the operational creditor, Tech India Engineers Pvt. Ltd.

    * The operational creditor issued a demand notice dated 11.04.2019, which was
    received by the corporate debtor on 16.04.2019.

    * The corporate debtor raised disputes through e-mails dated 04.10.2018, 01.11.2018,
    and 04.12.2018, among others.

    * The corporate debtor also pointed out discrepancies in the billed and actual
    executed work through e-mails dated 05.11.2018 and 29.04.2019.

    * The parties exchanged several e-mails and letters regarding the completion of
    the work and deficiency in services, indicating a pre-existing dispute.


    **3. Court''s Ruling:**


    * The NCLAT (National Company Law Appellate Tribunal) allowed the appeal and set
    aside the Impugned Order dated 04.06.2020 passed by the learned Adjudicating Authority.

    * The court held that the corporate debtor had raised disputes prior to the issuance
    of the demand notice, making the initiation of the CIRP against the corporate
    debtor invalid.

    * The court quashed the steps taken in consequence of the Impugned Order and released
    the corporate debtor from the rigour of the Corporate Insolvency Resolution Process.


    **4. Citations:**


    * **Mobilox Innovations Private Limited v. Kirusa Software Private Limited** (2018)
    1 SCC 353

    * **Innoventive Industries Ltd. v. ICICI Bank** (2018) 1 SCC 407

    * **Vinod Mittal v. Rays Power Exports** (Company Appeal (AT) (Insolvency) No.
    851/2019 dated 18.11.2019)

    * **Gajendra Parihar v. Devi Industrial Engineers** (Company Appeal (AT) (Insolvency)
    No. 1370 of 2019 dated 18.03.2020)'
- source_sentence: How does the court determine the adequacy of shareholder approval
    in corporate amalgamations?
  sentences:
  - '**1. Key Legal Issues and Holdings:**


    * **Trademark Infringement:** The primary legal issue is whether the term "Split
    View" can be considered a trademark or is merely descriptive of a software feature.

    * **Prior Use:** The court considered whether Apple Inc. or the respondents (Rohit
    Singh and Vyooh Low Level Computing LLP) had prior use of the term "Split View"
    as a trademark.

    * **Passing Off:** The court examined whether Apple''s use of "Split View" constitutes
    passing off, given the distinction between a product and a feature within an operating
    system.

    * **Descriptive Use vs. Trademark Use:** The court evaluated whether "Split View"
    is a descriptive term or a trademark, noting that if it is merely descriptive,
    it cannot be claimed as a trademark.

    * **Distinctiveness:** The court assessed whether the term "Split View" had acquired
    a secondary meaning or distinctiveness, thereby qualifying as a trademark.


    **2. Significant Facts of the Case:**


    * Rohit Singh developed a software product called "Split View" in 2005, which
    allowed users to simultaneously work on multiple windows on their computer screen.

    * Apple Inc. launched an update to their operating system (Mac OS X El Capitan
    and iOS 9) in December 2015, which included a feature called "Split View."

    * Rohit Singh claimed that Apple''s use of "Split View" infringed on his trademark
    and sought relief from Apple.

    * Apple argued that "Split View" is a descriptive term used by various software
    developers and not a trademark.

    * Apple highlighted that its use of "Split View" is integrated within its operating
    system and not sold as a standalone product.

    * Apple provided examples of other entities using "Split View" to describe multi-window
    functionality.

    * The court noted that the respondents had established prior use of the term "Split
    View" as a trademark for their software product.

    * The court recognized the distinction between a product and a feature within
    an operating system, which is relevant to the passing off claim.

    * The court found that the term "Split View" was used descriptively and not as
    a trademark by either party.


    **3. Court''s Ruling:**


    * The High Court vacated the ex-parte interim order granted by the learned Single
    Judge.

    * The court directed Apple to file a written statement.

    * The court noted that the respondents had established prior use of the term "Split
    View" as a trademark for their software product.

    * The court recognized the distinction between a product and a feature within
    an operating system, which is relevant to the passing off claim.

    * The court concluded that the term "Split View" is descriptive and cannot be
    claimed as a trademark by either party.


    **4. Citations:**


    * **Kavi Raj Pandit v. Durga Dutt Sharma**, AIR 1965 SC 1980

    * **Carlsberg India Pvt. Ltd. v. Radico Khaitan Ltd.**, 2012 (49) PTC 54

    * **Automatic Electric v. R.K. Dhawan**, 57 (1995) DLT 49

    * **Laxmikant V. Patel v. Chetanbhai Shah**, (2002) 3 SCC 65

    * **Cadila Healthcare Ltd. v. Gujarat Cooperative Milk Marketing Federation Ltd.**,
    ILR (2010) II Del 85

    * **Uniply Industries Ltd. v. Karnataka Industrial Development Corporation**,
    (2001) 5 SCC 95, AIR 2001 SC 2083'
  - '**1. Key Legal Issues and Holdings:**


    * **Amalgamation of Companies:** The case revolves around the proposed amalgamation
    between Crown Beers India Private Limited (Transferor Company) and Anheuser Busch
    InBev India Limited (Transferee Company) under sections 230 to 232 of the Companies
    Act, 2013.

    * **Scheme of Amalgamation:** The main legal issue is the approval of the Scheme
    of Amalgamation, which includes the transfer of assets and liabilities from the
    Transferor Company to the Transferee Company.

    * **Shareholder Approval:** The court considered the requirements for shareholder
    approval, including the notice period, proxy voting, and quorum.


    **2. Significant Facts of the Case:**


    * The Transferor Company is engaged in the business of manufacturing, brewing,
    packaging, distribution, marketing, sale, export, and import of beer, liquor,
    and other alcoholic products.

    * The Scheme provides for the issuance of new equity shares by the Transferee
    Company to the equity shareholders of the Transferor Company.

    * The Scheme also provides for the transfer of assets and liabilities from the
    Transferor Company to the Transferee Company.

    * There are no secured creditors, but there are approximately 1,250 unsecured
    creditors.


    **3. Court''s Ruling:**


    * The Tribunal directed the Applicant Company to issue notices to the equity shareholders,
    unsecured creditors, and regulatory authorities.

    * The Tribunal also directed the Applicant Company to serve notices to the concerned
    Income Tax Authority and the Central Government.

    * The Tribunal dispensed with the meeting of the creditors and directed the Applicant
    Company to file an affidavit of service.


    **4. Citations:**


    * **Companies Act, 2013**

    * **Companies (Compromises, Arrangements and Amalgamations) Rules, 2016**'
  - '**1. Key Legal Issues and Holdings:**


    * **Amalgamation of Companies:** The case revolves around the proposed amalgamation
    of Fizza Plastics Private Limited (Transferor Company) with Krypton Datamatics
    Limited (Transferee Company) under Sections 230-232 of the Companies Act, 2013.

    * **Scheme of Amalgamation:** The court considered the applicability of the Scheme
    of Amalgamation, including its compliance with the Accounting Standards and the
    requirements of the Companies Act, 2013.

    * **Dispensation of Convening Meetings:** The court held that the requirement
    of convening meetings of shareholders and creditors can be dispensed with, considering
    the consent of shareholders and creditors.


    **2. Significant Facts of the Case:**


    * The Transferor Company and Transferee Company are incorporated under the Companies
    Act, 2013.

    * The registered offices of both companies are situated in the National Capital
    Territory of Delhi.

    * The Scheme of Amalgamation is necessitated by the consolidation of the businesses,
    strategic and competitive advantages, economies of scale, and better utilization
    of skilled manpower.

    * The Share Exchange Ratio has been determined in accordance with the Report on
    Valuation of Shares & Share Exchange Ratio dated 5th December 2017.

    * The Board of Directors of each company has unanimously approved the proposed
    Scheme of Amalgamation.


    **3. Court''s Ruling:**


    * The court allowed the application for dispensing with the requirement of convening
    meetings of shareholders and creditors of the applicant companies.

    * The court directed the applicant companies to comply with the applicable law,
    including forms and formats contained in the Companies (Compromises, Arrangements,
    Amalgamations) Rules, 2016.

    * The court also directed the applicant companies to send notices to the Central
    Government, Income Tax Authorities, Registrar of Companies, and other sectoral
    regulators or authorities as required under sub-section (5) of section 230 of
    the Companies Act, 2013.


    **4. Citations:**


    * Companies Act, 2013

    * Companies (Compromises, Arrangements, and Amalgamations) Rules, 2016'
- source_sentence: Under what circumstances can a government servant be prosecuted
    without obtaining prior sanction as per Section 197 CrPC?
  sentences:
  - '**1. Key Legal Issues and Holdings:**


    * **Share Transfer and Acquisition:** The case revolves around the alleged illegal
    transfer and acquisition of shares by Respondent No. 2 from Respondents 5-12,
    which diluted the shareholding of the Petitioner.

    * **Section 108 of the Company Act 1956:** The main legal issue is the application
    of Section 108, which deals with the transfer of shares, and whether the transfer
    was made without the previous sanction of the Directors.

    * **Articles of Association:** The court considered the provisions of the Articles
    of Association, particularly Article No. of the AOA, which permits member-to-member
    transfers.


    **2. Significant Facts of the Case:**


    * The Respondent company was incorporated on 29.5.2007 with 1,50,000 shares held
    equally by the three initial promoters.

    * The company acquired a property in Goa, and to raise finances for development,
    further allotment of 90,000 shares was made at a premium to third parties.

    * Respondent No. 2 purchased an adjoining piece of land for Rs. 1.2 crores and
    proposed to amalgamate it with the project.

    * The Petitioner alleges that Respondent No. 2 was in control of the company''s
    affairs and had not transferred the plot of 300 sq. meters to the company.

    * The Respondent company''s bank account is jointly operated, and the security
    advance received from the Lessee has been spent on renovations and additions.


    **3. Court''s Ruling:**


    * The court dismissed the petition on grounds of limitation and lack of merit.

    * The court held that the acquisition of shares by Respondent No. 2 was not illegal,
    as it was a member-to-member transfer permitted under the Articles of Association.

    * The court found that the Petitioner had knowledge of the acquisition and had
    not objected to it, giving rise to the inference of his consent.

    * The court also found that the Respondent company''s management decisions, including
    the leasing of the property, were not oppressive or mismanaged.


    **4. Citations:**


    * **Section 108 of the Company Act 1956**

    * **Articles of Association of the Company**

    * **Precedents under the Companies Act 2013**'
  - '**1. Key Legal Issues and Holdings:**


    * **Section 196 CrPC:** Whether the court can take cognizance of an offense committed
    by a police officer while acting in the discharge of his official duties without
    sanction.

    * **Section 197 CrPC:** Whether a government servant can be prosecuted without
    sanction.

    * **Protection of Public Servants:** The court balanced the need to protect public
    servants in the discharge of their duties while also emphasizing the protection
    of citizens'' rights.


    **2. Significant Facts of the Case:**


    * The petitioner, Bakhshish Singh Brar, a Deputy Superintendent of Police, was
    accused of causing grievous injuries and death during a raid and search.

    * The case was committed to the Court of Sessions by the Judicial Magistrate First
    Class, Kapurthala.

    * The complainant, Gurmej Kaur, alleged that the petitioner and his police party
    had attacked her and her sons, Ajit Singh and Manjit Singh, who were later killed.

    * The respondent''s case was that the police party was conducting a raid on a
    haveli in connection with illicit liquor and unlicensed arms.

    * The court noted that the two versions of the incident were in conflict.


    **3. Court''s Ruling:**


    * The court held that the trial could proceed without sanction under Section 196
    CrPC.

    * The court observed that the question of whether the petitioner exceeded his
    official capacity while acting in the discharge of his duties could only be determined
    after some evidence had been noted by the trial court.

    * The court allowed the trial to proceed as expeditiously as possible and directed
    that the question of sanction under Section 197 CrPC may be agitated after some
    evidence had been noted by the learned Additional Sessions Judge.


    **4. Citations:**


    * **Pukhraj v. State of Rajasthan**, (1973) 2 SCC 701 : 1973 SCC (Cri) 944 : (1974)
    1 SCR 559'
  - '**1. Key Legal Issues and Holdings:**


    * **Circumstantial Evidence:** The case revolves around the use of circumstantial
    evidence to establish the guilt of the accused under Section 302 of the Indian
    Penal Code, 1860.

    * **Dying Declaration:** The admissibility of the oral dying declaration made
    by the deceased to P.Ws.1 and 2 is a crucial issue.

    * **Extra-Judicial Confession:** The evidence of P.W.7 regarding the extra-judicial
    confession made by the accused is significant.

    * **Recovery of Materials:** The recovery of materials of evidence, such as blood-stained
    clothes and weapons, is also an issue.


    **2. Significant Facts of the Case:**


    * The deceased was cutting tapioca plants on the accused''s land, which led to
    a quarrel and subsequent assault by the accused.

    * The accused beat the deceased with a stick and inflicted cut injuries with a
    sickle, leaving him with 15 external injuries and fractures in the skull, right
    leg, and left elbow.

    * The deceased was tied with a nylon rope and left bleeding, and the accused fled
    the scene.

    * P.Ws.1 and 2 found the accused with blood-stained clothes and reported the incident
    to the police.


    **3. Court''s Ruling:**


    * The High Court upheld the conviction of the accused under Section 302 of the
    Indian Penal Code, 1860.

    * The court rejected the accused''s plea for sympathy and modification of the
    conviction and sentence.

    * The accused was sentenced to life imprisonment.


    **4. Citations:**


    * **Gentela Vijayavardhan Rao v. State of A.P.**, (1996) (6) SCC 241

    * **Namdeo Daulata Dhayagude v. State of Maharashtra**, (1976) (4) SCC 441

    * **Padala Veera Reddy v. State of A.P.**, AIR 1990 SC 709

    * **Puran Singh v. State of Punjab**, 1995 Supp (3) SCC 665

    * **Rattan Singh v. State of H.P.**, (1997) (4) SCC 161


    **Additional Key Points:**


    * The prosecution relied on circumstantial evidence, which must satisfy the tests
    laid down in Padala Veera Reddy v. State of A.P. (AIR 1990 SC 709).

    * The accused''s motive was established through the evidence of P.Ws.1, 2, and
    7, showing the accused had a grudge against the deceased for cutting the tapioca
    plants.

    * The oral dying declaration of the deceased to P.Ws.1 and 2 was corroborated
    by the medical evidence and other circumstances, making it reliable.

    * The accused''s extra-judicial confession to P.W.7 was significant, along with
    the recovery of blood-stained clothes and weapons.

    * The accused''s sentence was upheld, and he was sentenced to life imprisonment.


    **Refined Summary:**


    The case revolves around the murder of the deceased by the accused, who was convicted
    under Section 302 of the Indian Penal Code, 1860. The prosecution relied on circumstantial
    evidence, including the oral dying declaration of the deceased, the accused''s
    extra-judicial confession, and the recovery of blood-stained clothes and weapons.
    The court upheld the conviction and sentence, rejecting the accused''s plea for
    sympathy and modification. The accused was sentenced to life imprisonment.'
- source_sentence: How does the court assess the significance of the recovery of firearms
    and cartridges from the accused at the crime scene in establishing a conspiracy
    to commit murder?
  sentences:
  - '**1. Key Legal Issues and Holdings:**


    * **Tenancy and Land Laws:** The case revolves around the interpretation of tenancy
    rights under the U.P. Tenancy Act, 1939, and the U.P. Zamindari Abolition and
    Land Reforms Act, 1950.

    * **Bhumidari Rights:** The main legal issue is the applicability of Section 182(2)
    of the U.P. Tenancy Act, 1939, which deals with the extinguishment of a female
    tenant''s rights upon marriage and the consequent hereditary tenancy rights of
    the person in possession.

    * **Possession and Sirdari Rights:** The court considered the question of whether
    Chhanoo, the respondent, had acquired sirdari rights through adverse possession
    or as a representative of Mst Sundariya, the original tenant.


    **2. Significant Facts of the Case:**


    * Mst Sundariya, the original tenant, died, and Chhanoo, her guardian, managed
    the property.

    * Mst Sundariya obtained bhumidari rights in the plots in question by depositing
    ten times the rent.

    * She sold the plots to the plaintiff, and Chhanoo claimed rights on the land.

    * The revenue entries showed that Chhanoo was the guardian of Mst Sundariya, and
    he continued to manage the property.

    * Mst Sundariya continued to be shown as a tenant in the revenue records, and
    Chhanoo did not take any action to correct the entries or claim adverse possession.


    **3. Court''s Ruling:**


    * The court upheld the finding of the first appellate court that Chhanoo''s possession
    was always as a representative or de facto guardian of Mst Sundariya.

    * The court held that Chhanoo did not acquire any title by way of adverse possession
    and was not entitled to sirdari rights.

    * The court allowed the appeal and set aside the order of the High Court, restoring
    the order of the first appellate court.


    **4. Citations:**


    * **U.P. Tenancy Act, 1939**

    * **U.P. Zamindari Abolition and Land Reforms Act, 1950**

    * **Section 182(2) of the U.P. Tenancy Act, 1939**

    * **Section 36 of the Tenancy Act**

    * **Section 134 of the U.P. Zamindari Abolition and Land Reforms Act, 1950**

    * **Section 137 and 137-A of the U.P. Zamindari Abolition and Land Reforms Act,
    1950**'
  - '**1. Key Legal Issues and Holdings:**


    * **Murder and Attempted Murder:** The case revolves around allegations of murder
    and attempted murder of Dr. Satya Prakash Dubey and his wife Smt. Manorma Dubey,
    and injuries to Umesh Chandra Mishra and Munnu Singh.

    * **Section 302 and 307 IPC:** The main legal issue is the application of Section
    302 (punishment for murder) and Section 307 (attempt to murder) of the Indian
    Penal Code, 1860.

    * **Arms Act:** The court also considered the application of the Arms Act, specifically
    Section 25, which deals with the unlawful possession of firearms.


    **2. Significant Facts of the Case:**


    * The occurrence took place on August 8, 1982, at the residence of Dr. Satya Prakash
    Dubey in Etawah.

    * Dr. Dubey and his wife Smt. Manorma Dubey were found dead, while Umesh Chandra
    Mishra and Munnu Singh were injured.

    * The accused, Brijendra Kumar, Ashok Dixit, and Chaman Lal, were apprehended
    at the scene, and firearms and cartridges were recovered from them.

    * The prosecution case was that the accused had conspired to murder Dr. Dubey
    and his wife, and had attempted to murder the injured individuals.

    * The defense argued that the accused were innocent and that the prosecution had
    failed to prove their guilt.

    * The investigating officer failed to record the statements of eye witnesses,
    including Umesh Chandra Mishra, Km. Ritu, Munnu Singh, and Bhagwat Dayal Dubey,
    on the night of the occurrence.

    * The accused persons were not interrogated on the night of the occurrence, and
    the investigating officer recorded their statements in the morning of 9-8-1982.

    * The First Information Report (FIR) was allegedly founded on the information
    furnished by Munnu Singh, one of the injured, but Munnu Singh was not examined
    as a witness to corroborate the version in the FIR.


    **3. Court''s Ruling:**


    * The High Court has acquitted the accused, Brijendra Kumar, Ashok Dixit, and
    Chaman Lal, due to lack of credible evidence.

    * The court has observed that the investigation was marred by several irregularities
    and that the evidence presented by the prosecution was unreliable.

    * The court has also noted that the investigating officer and other police personnel
    had conducted themselves in a manner that raised doubts about the prosecution
    case.


    **4. Citations:**


    * The case does not seem to be a precedent-setting case, but the court has considered
    the judgments of the Apex Court in other cases while delivering its verdict.'
  - '**1. Key Legal Issues and Holdings:**


    * **Occupier of a Factory:** The main legal issue is the interpretation of who
    can be considered the occupier of a factory, particularly in the case of a company.

    * **Ultimate Control:** The court holds that a company, which owns or runs a factory,
    cannot nominate any employee or officer, except a director, as the occupier of
    the factory.

    * **Proviso (ii) to Section 2(n) of the Factories Act, 1948:** The court upholds
    the validity of the proviso, which provides a deeming fiction that a director
    of a company shall be deemed to be the occupier in case of a company.

    * **Vicarious Liability:** The court affirms the principle of vicarious liability,
    holding that the occupier (director) is responsible for the actions of the manager
    and actual offenders in the factory.

    * **Strict Liability:** The court upholds the principle of strict liability, where
    the occupier is liable for the contravention of provisions under the Act, even
    without mens rea.

    * **Section 101 as an Exception:** The court holds that Section 101 of the Act
    provides an exception to the principle of strict liability, allowing the occupier
    to extricate himself from liability by establishing that the actual offender is
    someone else.


    **2. Significant Facts of the Case:**


    * The case revolves around the interpretation of Section 2(n) of the Factories
    Act, 1948, and the proviso (ii) added in 1987.

    * The court considers the legislative history of the amendment and the Statement
    of Objects and Reasons.

    * The court refers to various judgments, including M.C. Mehta (II) v. Union of
    India, to understand the context of the amendment.

    * The Chief Inspector of Factories directed the petitioners/appellants to file
    applications seeking renewal of the registration of licence of their respective
    factories, signed by a director of the company in his capacity as the occupier
    of the factory.


    **3. Court''s Ruling:**


    * The Supreme Court upholds the validity of proviso (ii) to Section 2(n) of the
    Factories Act, 1948.

    * The court holds that a company, which owns or runs a factory, cannot nominate
    any employee or officer, except a director, as the occupier of the factory.

    * The court affirms the directions given by the Chief Inspector of Factories to
    the writ petitioners and the appellants, stating that only a director of the company
    can file an application for renewal of the factory licence.

    * The court also holds that Section 101 of the Act provides an exception to the
    principle of strict liability, allowing the occupier to extricate himself from
    liability by establishing that the actual offender is someone else.


    **4. Citations:**


    * **M.C. Mehta (II) v. Union of India**, (1986) 2 SCC 325

    * **John Donald Mackenzie v. Chief Inspector of Factories**, AIR 1962 SC 1351

    * **Tesco Supermarkets Ltd. v. Nattrass**, 1972 AC 153

    * **Lennard''s Carrying Co. Ltd. v. Asiatic Petroleum Co. Ltd.**, 1915 AC 705

    * **Reserve Bank of India v. Peerless General Finance and Investment Co. Ltd.**,
    (1984) 4 SCC 444

    * **S. Gopal Reddy v. State of A.P.**, (1995) 6 SCC 738

    * **CIT v. Indo Mercantile Bank Ltd.**, (1999) 2 SCC 76

    * **State of Gujarat v. Kansara Manilal Bhikalal**, (AIR at p. 1897)

    * **Maneklal Jinabhai Kot v. State of Gujarat**, (approved by a three-Judge Bench
    of this Court)'
- source_sentence: What role does the liquidator play in verifying the claims and
    charges of secured creditors during the liquidation of a corporate debtor?
  sentences:
  - '**1. Key Legal Issues and Holdings:**


    * **Priority of Charges:** The main legal issue is the priority of charges on
    the secured assets of the corporate debtor, Reid and Taylor India Ltd.

    * **Insolvency and Bankruptcy Code, 2016:** The court considered the provisions
    of the Insolvency and Bankruptcy Code, 2016, particularly Section 52 and Regulation
    37 of the Insolvency and Bankruptcy Board of India (Liquidation Process) Regulations,
    2016.

    * **Security Interest:** The court examined the security interest held by the
    applicant, Finquest Financial Solutions P. Ltd., and other financial creditors,
    including Edelweiss Asset Reconstruction Co. Ltd.

    * **Entitlement to Realize Security Interest:** The court held that the applicant
    is entitled to realize their security interest in the manner specified under Section
    52(1)(b) read with Regulation 37 of the IBBI (Liquidation Process) Regulations,
    2016.


    **2. Significant Facts of the Case:**


    * The applicant, Finquest Financial Solutions P. Ltd., is a secured creditor with
    a first pari passu charge on the immovable fixed assets of the corporate debtor.

    * Edelweiss Asset Reconstruction Co. Ltd. is also a secured creditor with a claim
    on the same assets.

    * The corporate debtor, Reid and Taylor India Ltd., has been under liquidation.

    * Suit No. 84 of 2013 is pending in the Civil Judge (Senior Division), Nanjangud,
    challenging the first charge created by IDM.

    * The liquidator has verified the documents and found that the applicant is the
    sole first charge holder of the immovable property of the corporate debtor at
    Mysore.

    * The Edelweiss had not obtained an NOC from the IDM and had not ventilated their
    grievance or enforced their rights before any forum.


    **3. Court''s Ruling:**


    * The court ruled that the applicant, Finquest Financial Solutions P. Ltd., is
    entitled to realize their security interest in the manner specified under Section
    52(1)(b) read with Regulation 37 of the IBBI (Liquidation Process) Regulations,
    2016.

    * The court held that the applicant is the first charge holder of the immovable
    fixed assets of the corporate debtor.

    * The court dismissed the objection of Edelweiss Asset Reconstruction Co. Ltd.
    regarding the priority of charges.

    * The court directed the liquidator to hand over the symbolic possession of the
    fixed assets of the corporate debtor to the applicant to enable them to proceed
    with the sale of the assets.

    * The court directed the liquidator to inform the Tribunal about the manner and
    progress of the sale of assets from time-to-time for further directions/instructions.


    **4. Citations:**


    * **Insolvency and Bankruptcy Code, 2016**

    * **Regulation 37 of the Insolvency and Bankruptcy Board of India (Liquidation
    Process) Regulations, 2016**

    * **Suit No. 84 of 2013 filed with the Court of Civil Judge (Senior Division),
    Nanjangud, Karnataka**'
  - '**1. Key Legal Issues and Holdings:**


    * **Dowry and Cruelty:** The case revolves around allegations of dowry demands
    and cruelty by the husband (petitioner) towards his wife.

    * **Section 498-A IPC:** The main legal issue is the application of Section 498-A
    of the Indian Penal Code, 1860, which deals with cruelty by the husband or his
    relatives towards a married woman.

    * **Sentencing:** The court considered the appropriateness of the sentence awarded
    to the petitioner under Section 498-A IPC.


    **2. Significant Facts of the Case:**


    * The petitioner, Mangat Ram, was convicted under Section 498-A IPC.

    * He was sentenced to one year imprisonment and a fine.

    * He appealed the conviction and sentence, which was dismissed.

    * He then filed a revision petition, seeking a reduction in sentence.

    * The petitioner had already served over two months in prison.

    * The complainant (wife) had obtained an ex-parte divorce decree.


    **3. Court''s Ruling:**


    * The High Court upheld the conviction of the petitioner under Section 498-A IPC.

    * The court reduced the sentence to the period already undergone by the petitioner.

    * The court enhanced the fine to Rs. 5000/-.


    **4. Citations:**


    * **Yogendra Yadav v. State of Jharkhand**, Criminal Appeal No. 1205 of 2014

    * **Lajpat Rai v. State of Haryana**, Criminal Revision No. 1380 of 1999


    **Refined Summary (Updated):**


    **1. Key Legal Issues and Holdings:**


    * **Default Bail under Section 167(2) Cr.P.C.:** The court considered the applicability
    of default bail under Section 167(2) Cr.P.C. in cases where the investigating
    agency fails to file the final report within the prescribed time limit.

    * **Investigation and Filing of Challan:** The court held that the investigation
    is not considered incomplete merely because the investigating officer awaits reports
    of experts or fails to append certain documents to the police report.

    * **Role of the Court:** The court emphasized its role in determining whether
    to permit the prosecutor to adduce evidence of experts and to balance the interest
    of the accused with the interest of justice.


    **2. Significant Facts of the Case:**


    * The petitioners, Sukhwinder Kumar @ Sukha, Harpreet Singh @ Bahadur, Navjit
    Singh, and Rakesh Kumar @ Kesha, were accused of offenses under the Narcotic Drugs
    and Psychotropic Substances (NDPS) Act, 1985.

    * They filed revision petitions seeking default bail under Section 167(2) Cr.P.C.

    * The prosecution opposed their claims, arguing that the investigating agency
    had not failed to file the final report within the prescribed time limit.

    * The court considered the rival contentions and held that the petitioners were
    entitled to default bail.


    **3. Court''s Ruling:**


    * The court disposed of the revision petitions, releasing the petitioners on interim
    bail till the filing of the report under Section 173 Cr.P.C.

    * The court emphasized the importance of the investigating agency and the prosecuting
    agency complying with statutory provisions to avoid delay in completing investigations
    and filing challans.

    * The court noted that the respondent-State had failed to comply with statutory
    provisions, resulting in the accused getting benefit of default bail.


    **4. Citations:**


    * **Abdul Azeez P.V. v. National Investigation Agency**, 2015 (1) RCR (Criminal)
    239

    * **Mehal Singh v. State of Haryana**, 1978 PLR 480'
  - '**Refined Summary:**


    **1. Key Legal Issues and Holdings:**


    * **Public Purpose:** The main legal issue is the interpretation of the public
    purpose for which land was acquired under the Land Acquisition Act, 1894.

    * **Section 4 and 6:** The court considered the validity of notifications under
    Sections 4 and 6 of the Act.

    * **Land Acquisition:** The court held that the public purpose of acquiring land
    for planned development of the expanding town of Greater Delhi remained the same,
    despite the introduction of the Master Plan.


    **2. Significant Facts of the Case:**


    * The case involves the acquisition of land for the execution of the Interim General
    Plan for Greater Delhi.

    * The Master Plan for Delhi came into force on September 1, 1962, replacing the
    Interim General Plan.

    * The respondents contended that the public purpose indicated in the declaration
    under Section 6 ceased to be operative after the introduction of the Master Plan.

    * The appellants argued that the public purpose remained the same, i.e., the planned
    development of the expanding town of Greater Delhi.


    **3. Court''s Ruling:**


    * The Supreme Court allowed the appeal and set aside the judgment of the Delhi
    High Court.

    * The court held that the public purpose of acquiring land remained the same,
    despite the introduction of the Master Plan.

    * The court directed the parties to bear their own costs.


    **4. Citations:**


    * **Babu Singh v. Union of India**, (1981) 3 SCC 628'
model-index:
- name: GTE-base Votum Case Law
  results:
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: dim 768
      type: dim_768
    metrics:
    - type: cosine_accuracy@1
      value: 0.0824018343364861
      name: Cosine Accuracy@1
    - type: cosine_accuracy@3
      value: 0.24835196331327028
      name: Cosine Accuracy@3
    - type: cosine_accuracy@5
      value: 0.33935224992834623
      name: Cosine Accuracy@5
    - type: cosine_accuracy@10
      value: 0.4760676411579249
      name: Cosine Accuracy@10
    - type: cosine_precision@1
      value: 0.0824018343364861
      name: Cosine Precision@1
    - type: cosine_precision@3
      value: 0.08278398777109008
      name: Cosine Precision@3
    - type: cosine_precision@5
      value: 0.06787044998566925
      name: Cosine Precision@5
    - type: cosine_precision@10
      value: 0.04760676411579248
      name: Cosine Precision@10
    - type: cosine_recall@1
      value: 0.0824018343364861
      name: Cosine Recall@1
    - type: cosine_recall@3
      value: 0.24835196331327028
      name: Cosine Recall@3
    - type: cosine_recall@5
      value: 0.33935224992834623
      name: Cosine Recall@5
    - type: cosine_recall@10
      value: 0.4760676411579249
      name: Cosine Recall@10
    - type: cosine_ndcg@10
      value: 0.2582198876800978
      name: Cosine Ndcg@10
    - type: cosine_mrr@10
      value: 0.19086027742519565
      name: Cosine Mrr@10
    - type: cosine_map@100
      value: 0.20176101999097426
      name: Cosine Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: dim 512
      type: dim_512
    metrics:
    - type: cosine_accuracy@1
      value: 0.07781599312123817
      name: Cosine Accuracy@1
    - type: cosine_accuracy@3
      value: 0.235024362281456
      name: Cosine Accuracy@3
    - type: cosine_accuracy@5
      value: 0.32745772427629694
      name: Cosine Accuracy@5
    - type: cosine_accuracy@10
      value: 0.4656061908856406
      name: Cosine Accuracy@10
    - type: cosine_precision@1
      value: 0.07781599312123817
      name: Cosine Precision@1
    - type: cosine_precision@3
      value: 0.07834145409381867
      name: Cosine Precision@3
    - type: cosine_precision@5
      value: 0.06549154485525939
      name: Cosine Precision@5
    - type: cosine_precision@10
      value: 0.046560619088564056
      name: Cosine Precision@10
    - type: cosine_recall@1
      value: 0.07781599312123817
      name: Cosine Recall@1
    - type: cosine_recall@3
      value: 0.235024362281456
      name: Cosine Recall@3
    - type: cosine_recall@5
      value: 0.32745772427629694
      name: Cosine Recall@5
    - type: cosine_recall@10
      value: 0.4656061908856406
      name: Cosine Recall@10
    - type: cosine_ndcg@10
      value: 0.25020804232360305
      name: Cosine Ndcg@10
    - type: cosine_mrr@10
      value: 0.1837239601104605
      name: Cosine Mrr@10
    - type: cosine_map@100
      value: 0.19468382782021346
      name: Cosine Map@100
---

# GTE-base Votum Case Law

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Alibaba-NLP/gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5) on the json dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

## Model Details

### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [Alibaba-NLP/gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5) <!-- at revision a829fd0e060bb84554da0dfd354d0de0f7712b7f -->
- **Maximum Sequence Length:** 8192 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
    - json
- **Language:** en
- **License:** apache-2.0

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)

### Full Model Architecture

```
SentenceTransformer(
  (0): Transformer({'max_seq_length': 8192, 'do_lower_case': False}) with Transformer model: NewModel 
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("Tejasw1/votum-case-law-v1")
# Run inference
sentences = [
    'What role does the liquidator play in verifying the claims and charges of secured creditors during the liquidation of a corporate debtor?',
    "**1. Key Legal Issues and Holdings:**\n\n* **Priority of Charges:** The main legal issue is the priority of charges on the secured assets of the corporate debtor, Reid and Taylor India Ltd.\n* **Insolvency and Bankruptcy Code, 2016:** The court considered the provisions of the Insolvency and Bankruptcy Code, 2016, particularly Section 52 and Regulation 37 of the Insolvency and Bankruptcy Board of India (Liquidation Process) Regulations, 2016.\n* **Security Interest:** The court examined the security interest held by the applicant, Finquest Financial Solutions P. Ltd., and other financial creditors, including Edelweiss Asset Reconstruction Co. Ltd.\n* **Entitlement to Realize Security Interest:** The court held that the applicant is entitled to realize their security interest in the manner specified under Section 52(1)(b) read with Regulation 37 of the IBBI (Liquidation Process) Regulations, 2016.\n\n**2. Significant Facts of the Case:**\n\n* The applicant, Finquest Financial Solutions P. Ltd., is a secured creditor with a first pari passu charge on the immovable fixed assets of the corporate debtor.\n* Edelweiss Asset Reconstruction Co. Ltd. is also a secured creditor with a claim on the same assets.\n* The corporate debtor, Reid and Taylor India Ltd., has been under liquidation.\n* Suit No. 84 of 2013 is pending in the Civil Judge (Senior Division), Nanjangud, challenging the first charge created by IDM.\n* The liquidator has verified the documents and found that the applicant is the sole first charge holder of the immovable property of the corporate debtor at Mysore.\n* The Edelweiss had not obtained an NOC from the IDM and had not ventilated their grievance or enforced their rights before any forum.\n\n**3. Court's Ruling:**\n\n* The court ruled that the applicant, Finquest Financial Solutions P. Ltd., is entitled to realize their security interest in the manner specified under Section 52(1)(b) read with Regulation 37 of the IBBI (Liquidation Process) Regulations, 2016.\n* The court held that the applicant is the first charge holder of the immovable fixed assets of the corporate debtor.\n* The court dismissed the objection of Edelweiss Asset Reconstruction Co. Ltd. regarding the priority of charges.\n* The court directed the liquidator to hand over the symbolic possession of the fixed assets of the corporate debtor to the applicant to enable them to proceed with the sale of the assets.\n* The court directed the liquidator to inform the Tribunal about the manner and progress of the sale of assets from time-to-time for further directions/instructions.\n\n**4. Citations:**\n\n* **Insolvency and Bankruptcy Code, 2016**\n* **Regulation 37 of the Insolvency and Bankruptcy Board of India (Liquidation Process) Regulations, 2016**\n* **Suit No. 84 of 2013 filed with the Court of Civil Judge (Senior Division), Nanjangud, Karnataka**",
    "**1. Key Legal Issues and Holdings:**\n\n* **Dowry and Cruelty:** The case revolves around allegations of dowry demands and cruelty by the husband (petitioner) towards his wife.\n* **Section 498-A IPC:** The main legal issue is the application of Section 498-A of the Indian Penal Code, 1860, which deals with cruelty by the husband or his relatives towards a married woman.\n* **Sentencing:** The court considered the appropriateness of the sentence awarded to the petitioner under Section 498-A IPC.\n\n**2. Significant Facts of the Case:**\n\n* The petitioner, Mangat Ram, was convicted under Section 498-A IPC.\n* He was sentenced to one year imprisonment and a fine.\n* He appealed the conviction and sentence, which was dismissed.\n* He then filed a revision petition, seeking a reduction in sentence.\n* The petitioner had already served over two months in prison.\n* The complainant (wife) had obtained an ex-parte divorce decree.\n\n**3. Court's Ruling:**\n\n* The High Court upheld the conviction of the petitioner under Section 498-A IPC.\n* The court reduced the sentence to the period already undergone by the petitioner.\n* The court enhanced the fine to Rs. 5000/-.\n\n**4. Citations:**\n\n* **Yogendra Yadav v. State of Jharkhand**, Criminal Appeal No. 1205 of 2014\n* **Lajpat Rai v. State of Haryana**, Criminal Revision No. 1380 of 1999\n\n**Refined Summary (Updated):**\n\n**1. Key Legal Issues and Holdings:**\n\n* **Default Bail under Section 167(2) Cr.P.C.:** The court considered the applicability of default bail under Section 167(2) Cr.P.C. in cases where the investigating agency fails to file the final report within the prescribed time limit.\n* **Investigation and Filing of Challan:** The court held that the investigation is not considered incomplete merely because the investigating officer awaits reports of experts or fails to append certain documents to the police report.\n* **Role of the Court:** The court emphasized its role in determining whether to permit the prosecutor to adduce evidence of experts and to balance the interest of the accused with the interest of justice.\n\n**2. Significant Facts of the Case:**\n\n* The petitioners, Sukhwinder Kumar @ Sukha, Harpreet Singh @ Bahadur, Navjit Singh, and Rakesh Kumar @ Kesha, were accused of offenses under the Narcotic Drugs and Psychotropic Substances (NDPS) Act, 1985.\n* They filed revision petitions seeking default bail under Section 167(2) Cr.P.C.\n* The prosecution opposed their claims, arguing that the investigating agency had not failed to file the final report within the prescribed time limit.\n* The court considered the rival contentions and held that the petitioners were entitled to default bail.\n\n**3. Court's Ruling:**\n\n* The court disposed of the revision petitions, releasing the petitioners on interim bail till the filing of the report under Section 173 Cr.P.C.\n* The court emphasized the importance of the investigating agency and the prosecuting agency complying with statutory provisions to avoid delay in completing investigations and filing challans.\n* The court noted that the respondent-State had failed to comply with statutory provisions, resulting in the accused getting benefit of default bail.\n\n**4. Citations:**\n\n* **Abdul Azeez P.V. v. National Investigation Agency**, 2015 (1) RCR (Criminal) 239\n* **Mehal Singh v. State of Haryana**, 1978 PLR 480",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```

<!--
### Direct Usage (Transformers)

<details><summary>Click to see the direct usage in Transformers</summary>

</details>
-->

<!--
### Downstream Usage (Sentence Transformers)

You can finetune this model on your own dataset.

<details><summary>Click to expand</summary>

</details>
-->

<!--
### Out-of-Scope Use

*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->

## Evaluation

### Metrics

#### Information Retrieval

* Datasets: `dim_768` and `dim_512`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)

| Metric              | dim_768    | dim_512    |
|:--------------------|:-----------|:-----------|
| cosine_accuracy@1   | 0.0824     | 0.0778     |
| cosine_accuracy@3   | 0.2484     | 0.235      |
| cosine_accuracy@5   | 0.3394     | 0.3275     |
| cosine_accuracy@10  | 0.4761     | 0.4656     |
| cosine_precision@1  | 0.0824     | 0.0778     |
| cosine_precision@3  | 0.0828     | 0.0783     |
| cosine_precision@5  | 0.0679     | 0.0655     |
| cosine_precision@10 | 0.0476     | 0.0466     |
| cosine_recall@1     | 0.0824     | 0.0778     |
| cosine_recall@3     | 0.2484     | 0.235      |
| cosine_recall@5     | 0.3394     | 0.3275     |
| cosine_recall@10    | 0.4761     | 0.4656     |
| **cosine_ndcg@10**  | **0.2582** | **0.2502** |
| cosine_mrr@10       | 0.1909     | 0.1837     |
| cosine_map@100      | 0.2018     | 0.1947     |

<!--
## Bias, Risks and Limitations

*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->

<!--
### Recommendations

*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->

## Training Details

### Training Dataset

#### json

* Dataset: json
* Size: 132,576 training samples
* Columns: <code>anchor</code> and <code>positive</code>
* Approximate statistics based on the first 1000 samples:
  |         | anchor                                                                             | positive                                                                               |
  |:--------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------|
  | type    | string                                                                             | string                                                                                 |
  | details | <ul><li>min: 2 tokens</li><li>mean: 26.94 tokens</li><li>max: 199 tokens</li></ul> | <ul><li>min: 298 tokens</li><li>mean: 543.71 tokens</li><li>max: 1266 tokens</li></ul> |
* Samples:
  | anchor                                                                                                                                                                               | positive                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
  |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | <code>What are the legal implications of a court setting aside an order related to the initiation of a Corporate Insolvency Resolution Process due to a pre-existing dispute?</code> | <code>**1. Key Legal Issues and Holdings:**<br><br>* **Existence of Dispute:** The main legal issue is whether there was an existence of dispute prior to the issuance of the Demand Notice dated 11.04.2019.<br>* **Section 8 of IBC:** The court considered the application of Section 8 of the Insolvency and Bankruptcy Code, 2016, which deals with the requirement of a dispute to be raised by the corporate debtor in response to a demand notice.<br>* **Admissibility of Corporate Insolvency Resolution Process (CIRP):** The court's ruling affected the admissibility of the CIRP against the corporate debtor.<br><br>**2. Significant Facts of the Case:**<br><br>* The corporate debtor, Triumph Realty Pvt. Ltd., had a pre-existing dispute with the operational creditor, Tech India Engineers Pvt. Ltd.<br>* The operational creditor issued a demand notice dated 11.04.2019, which was received by the corporate debtor on 16.04.2019.<br>* The corporate debtor raised disputes through e-mails dated 04.10.2018, 01.11.2018, and 04.12.2018, among o...</code>                |
  | <code>How does the court assess whether a dispute is genuine or merely spurious, hypothetical, or illusory?</code>                                                                   | <code>**1. Key Legal Issues and Holdings:**<br><br>* **Existence of Dispute:** The court considered whether a dispute existed between the parties before the issuance of the Demand Notice under Section 9 of the Insolvency and Bankruptcy Code, 2016.<br>* **Pre-existing Dispute:** The court relied on the principle laid down by the Hon'ble Supreme Court in "Mobilox Innovations Private Limited v. KIRUSA Software Pvt. Ltd." that a dispute must be pre-existing before the receipt of the Demand Notice.<br>* **Section 8 of the Code:** The court analyzed the provisions of Section 8 of the Code, which deals with the procedure for an operational creditor to initiate insolvency proceedings against a corporate debtor.<br>* **Nature of Dispute:** The court held that the dispute was genuine and not spurious, hypothetical, or illusory, and that the corporate debtor had raised a plausible contention that required further investigation.<br><br>**2. Significant Facts of the Case:**<br><br>* The operational creditor, Nirmal K. Dhiran, supp...</code>                   |
  | <code>What are the legal implications of dowry demands and cruelty under Indian law, particularly in the context of Section 498-A IPC?</code>                                        | <code>**1. Key Legal Issues and Holdings:**<br><br>* **Dowry and Cruelty:** The case revolves around allegations of dowry demands and cruelty by the husband (petitioner) towards his wife.<br>* **Section 498-A IPC:** The main legal issue is the application of Section 498-A of the Indian Penal Code, 1860, which deals with cruelty by the husband or his relatives towards a married woman.<br>* **Rent Control and Eviction:** The case also involves a dispute over rent control and eviction under the Uttar Pradesh Urban Buildings (Regulation of Letting, Rent and Eviction) Act, 1972.<br><br>**2. Significant Facts of the Case:**<br><br>* The petitioner, Mangat Ram, was convicted under Section 498-A IPC.<br>* He was sentenced to one year imprisonment and a fine.<br>* He appealed the conviction and sentence, which was dismissed.<br>* He then filed a revision petition, seeking a reduction in sentence.<br>* The petitioner had already served over two months in prison.<br>* The complainant (wife) had obtained an ex-parte divorce decree.<br><br>**3. Cou...</code> |
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
  ```json
  {
      "loss": "MultipleNegativesRankingLoss",
      "matryoshka_dims": [
          768,
          512
      ],
      "matryoshka_weights": [
          1,
          1
      ],
      "n_dims_per_step": -1
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `eval_strategy`: epoch
- `gradient_accumulation_steps`: 8
- `learning_rate`: 2e-05
- `num_train_epochs`: 4
- `lr_scheduler_type`: cosine
- `warmup_ratio`: 0.1
- `bf16`: True
- `tf32`: True
- `load_best_model_at_end`: True
- `optim`: adamw_torch_fused
- `batch_sampler`: no_duplicates

#### All Hyperparameters
<details><summary>Click to expand</summary>

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: epoch
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 8
- `per_device_eval_batch_size`: 8
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 8
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 2e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 4
- `max_steps`: -1
- `lr_scheduler_type`: cosine
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: True
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: True
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch_fused
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`: 
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional

</details>

### Training Logs
<details><summary>Click to expand</summary>

| Epoch      | Step     | Training Loss | dim_768_cosine_ndcg@10 | dim_512_cosine_ndcg@10 |
|:----------:|:--------:|:-------------:|:----------------------:|:----------------------:|
| 0.0048     | 10       | 0.4645        | -                      | -                      |
| 0.0097     | 20       | 0.4746        | -                      | -                      |
| 0.0145     | 30       | 0.4692        | -                      | -                      |
| 0.0193     | 40       | 0.4603        | -                      | -                      |
| 0.0241     | 50       | 0.3954        | -                      | -                      |
| 0.0290     | 60       | 0.4071        | -                      | -                      |
| 0.0338     | 70       | 0.4232        | -                      | -                      |
| 0.0386     | 80       | 0.374         | -                      | -                      |
| 0.0434     | 90       | 0.3748        | -                      | -                      |
| 0.0483     | 100      | 0.3046        | -                      | -                      |
| 0.0531     | 110      | 0.3648        | -                      | -                      |
| 0.0579     | 120      | 0.2515        | -                      | -                      |
| 0.0628     | 130      | 0.3437        | -                      | -                      |
| 0.0676     | 140      | 0.298         | -                      | -                      |
| 0.0724     | 150      | 0.2658        | -                      | -                      |
| 0.0772     | 160      | 0.2989        | -                      | -                      |
| 0.0821     | 170      | 0.2322        | -                      | -                      |
| 0.0869     | 180      | 0.2816        | -                      | -                      |
| 0.0917     | 190      | 0.2436        | -                      | -                      |
| 0.0965     | 200      | 0.2335        | -                      | -                      |
| 0.1014     | 210      | 0.2156        | -                      | -                      |
| 0.1062     | 220      | 0.2305        | -                      | -                      |
| 0.1110     | 230      | 0.228         | -                      | -                      |
| 0.1159     | 240      | 0.2192        | -                      | -                      |
| 0.1207     | 250      | 0.2337        | -                      | -                      |
| 0.1255     | 260      | 0.2594        | -                      | -                      |
| 0.1303     | 270      | 0.1794        | -                      | -                      |
| 0.1352     | 280      | 0.1701        | -                      | -                      |
| 0.1400     | 290      | 0.1981        | -                      | -                      |
| 0.1448     | 300      | 0.2264        | -                      | -                      |
| 0.1497     | 310      | 0.2418        | -                      | -                      |
| 0.1545     | 320      | 0.292         | -                      | -                      |
| 0.1593     | 330      | 0.2112        | -                      | -                      |
| 0.1641     | 340      | 0.1933        | -                      | -                      |
| 0.1690     | 350      | 0.1779        | -                      | -                      |
| 0.1738     | 360      | 0.2294        | -                      | -                      |
| 0.1786     | 370      | 0.2104        | -                      | -                      |
| 0.1834     | 380      | 0.2286        | -                      | -                      |
| 0.1883     | 390      | 0.2752        | -                      | -                      |
| 0.1931     | 400      | 0.1852        | -                      | -                      |
| 0.1979     | 410      | 0.2052        | -                      | -                      |
| 0.2028     | 420      | 0.1893        | -                      | -                      |
| 0.2076     | 430      | 0.2466        | -                      | -                      |
| 0.2124     | 440      | 0.2177        | -                      | -                      |
| 0.2172     | 450      | 0.2506        | -                      | -                      |
| 0.2221     | 460      | 0.1974        | -                      | -                      |
| 0.2269     | 470      | 0.197         | -                      | -                      |
| 0.2317     | 480      | 0.1777        | -                      | -                      |
| 0.2365     | 490      | 0.1848        | -                      | -                      |
| 0.2414     | 500      | 0.1661        | -                      | -                      |
| 0.2462     | 510      | 0.2093        | -                      | -                      |
| 0.2510     | 520      | 0.1178        | -                      | -                      |
| 0.2559     | 530      | 0.2085        | -                      | -                      |
| 0.2607     | 540      | 0.1609        | -                      | -                      |
| 0.2655     | 550      | 0.1736        | -                      | -                      |
| 0.2703     | 560      | 0.1503        | -                      | -                      |
| 0.2752     | 570      | 0.1808        | -                      | -                      |
| 0.2800     | 580      | 0.1614        | -                      | -                      |
| 0.2848     | 590      | 0.2057        | -                      | -                      |
| 0.2896     | 600      | 0.1916        | -                      | -                      |
| 0.2945     | 610      | 0.1569        | -                      | -                      |
| 0.2993     | 620      | 0.184         | -                      | -                      |
| 0.3041     | 630      | 0.2615        | -                      | -                      |
| 0.3090     | 640      | 0.2152        | -                      | -                      |
| 0.3138     | 650      | 0.1426        | -                      | -                      |
| 0.3186     | 660      | 0.145         | -                      | -                      |
| 0.3234     | 670      | 0.1484        | -                      | -                      |
| 0.3283     | 680      | 0.1567        | -                      | -                      |
| 0.3331     | 690      | 0.1365        | -                      | -                      |
| 0.3379     | 700      | 0.1594        | -                      | -                      |
| 0.3427     | 710      | 0.1486        | -                      | -                      |
| 0.3476     | 720      | 0.1663        | -                      | -                      |
| 0.3524     | 730      | 0.2052        | -                      | -                      |
| 0.3572     | 740      | 0.1777        | -                      | -                      |
| 0.3621     | 750      | 0.1728        | -                      | -                      |
| 0.3669     | 760      | 0.1669        | -                      | -                      |
| 0.3717     | 770      | 0.1356        | -                      | -                      |
| 0.3765     | 780      | 0.1706        | -                      | -                      |
| 0.3814     | 790      | 0.1916        | -                      | -                      |
| 0.3862     | 800      | 0.1365        | -                      | -                      |
| 0.3910     | 810      | 0.1392        | -                      | -                      |
| 0.3958     | 820      | 0.1708        | -                      | -                      |
| 0.4007     | 830      | 0.1971        | -                      | -                      |
| 0.4055     | 840      | 0.1363        | -                      | -                      |
| 0.4103     | 850      | 0.1411        | -                      | -                      |
| 0.4152     | 860      | 0.1484        | -                      | -                      |
| 0.4200     | 870      | 0.1767        | -                      | -                      |
| 0.4248     | 880      | 0.1871        | -                      | -                      |
| 0.4296     | 890      | 0.1393        | -                      | -                      |
| 0.4345     | 900      | 0.2113        | -                      | -                      |
| 0.4393     | 910      | 0.1614        | -                      | -                      |
| 0.4441     | 920      | 0.1309        | -                      | -                      |
| 0.4490     | 930      | 0.1329        | -                      | -                      |
| 0.4538     | 940      | 0.2125        | -                      | -                      |
| 0.4586     | 950      | 0.1929        | -                      | -                      |
| 0.4634     | 960      | 0.1777        | -                      | -                      |
| 0.4683     | 970      | 0.1813        | -                      | -                      |
| 0.4731     | 980      | 0.1341        | -                      | -                      |
| 0.4779     | 990      | 0.1025        | -                      | -                      |
| 0.4827     | 1000     | 0.2471        | -                      | -                      |
| 0.4876     | 1010     | 0.1696        | -                      | -                      |
| 0.4924     | 1020     | 0.1144        | -                      | -                      |
| 0.4972     | 1030     | 0.1537        | -                      | -                      |
| 0.5021     | 1040     | 0.1389        | -                      | -                      |
| 0.5069     | 1050     | 0.2184        | -                      | -                      |
| 0.5117     | 1060     | 0.1473        | -                      | -                      |
| 0.5165     | 1070     | 0.1494        | -                      | -                      |
| 0.5214     | 1080     | 0.1568        | -                      | -                      |
| 0.5262     | 1090     | 0.1656        | -                      | -                      |
| 0.5310     | 1100     | 0.1555        | -                      | -                      |
| 0.5358     | 1110     | 0.1108        | -                      | -                      |
| 0.5407     | 1120     | 0.1163        | -                      | -                      |
| 0.5455     | 1130     | 0.1549        | -                      | -                      |
| 0.5503     | 1140     | 0.1638        | -                      | -                      |
| 0.5552     | 1150     | 0.1575        | -                      | -                      |
| 0.5600     | 1160     | 0.1294        | -                      | -                      |
| 0.5648     | 1170     | 0.1402        | -                      | -                      |
| 0.5696     | 1180     | 0.1539        | -                      | -                      |
| 0.5745     | 1190     | 0.1249        | -                      | -                      |
| 0.5793     | 1200     | 0.1042        | -                      | -                      |
| 0.5841     | 1210     | 0.1681        | -                      | -                      |
| 0.5889     | 1220     | 0.1744        | -                      | -                      |
| 0.5938     | 1230     | 0.1144        | -                      | -                      |
| 0.5986     | 1240     | 0.1183        | -                      | -                      |
| 0.6034     | 1250     | 0.1397        | -                      | -                      |
| 0.6083     | 1260     | 0.1938        | -                      | -                      |
| 0.6131     | 1270     | 0.1194        | -                      | -                      |
| 0.6179     | 1280     | 0.1374        | -                      | -                      |
| 0.6227     | 1290     | 0.1203        | -                      | -                      |
| 0.6276     | 1300     | 0.0766        | -                      | -                      |
| 0.6324     | 1310     | 0.1337        | -                      | -                      |
| 0.6372     | 1320     | 0.1695        | -                      | -                      |
| 0.6420     | 1330     | 0.1179        | -                      | -                      |
| 0.6469     | 1340     | 0.1316        | -                      | -                      |
| 0.6517     | 1350     | 0.1294        | -                      | -                      |
| 0.6565     | 1360     | 0.1125        | -                      | -                      |
| 0.6614     | 1370     | 0.1629        | -                      | -                      |
| 0.6662     | 1380     | 0.1094        | -                      | -                      |
| 0.6710     | 1390     | 0.1479        | -                      | -                      |
| 0.6758     | 1400     | 0.1479        | -                      | -                      |
| 0.6807     | 1410     | 0.1608        | -                      | -                      |
| 0.6855     | 1420     | 0.1422        | -                      | -                      |
| 0.6903     | 1430     | 0.1735        | -                      | -                      |
| 0.6951     | 1440     | 0.1403        | -                      | -                      |
| 0.7000     | 1450     | 0.1306        | -                      | -                      |
| 0.7048     | 1460     | 0.1497        | -                      | -                      |
| 0.7096     | 1470     | 0.1154        | -                      | -                      |
| 0.7145     | 1480     | 0.1308        | -                      | -                      |
| 0.7193     | 1490     | 0.1514        | -                      | -                      |
| 0.7241     | 1500     | 0.139         | -                      | -                      |
| 0.7289     | 1510     | 0.1139        | -                      | -                      |
| 0.7338     | 1520     | 0.1313        | -                      | -                      |
| 0.7386     | 1530     | 0.1844        | -                      | -                      |
| 0.7434     | 1540     | 0.1195        | -                      | -                      |
| 0.7483     | 1550     | 0.1102        | -                      | -                      |
| 0.7531     | 1560     | 0.1482        | -                      | -                      |
| 0.7579     | 1570     | 0.1232        | -                      | -                      |
| 0.7627     | 1580     | 0.1408        | -                      | -                      |
| 0.7676     | 1590     | 0.1575        | -                      | -                      |
| 0.7724     | 1600     | 0.1415        | -                      | -                      |
| 0.7772     | 1610     | 0.1344        | -                      | -                      |
| 0.7820     | 1620     | 0.1009        | -                      | -                      |
| 0.7869     | 1630     | 0.1192        | -                      | -                      |
| 0.7917     | 1640     | 0.1528        | -                      | -                      |
| 0.7965     | 1650     | 0.1006        | -                      | -                      |
| 0.8014     | 1660     | 0.0748        | -                      | -                      |
| 0.8062     | 1670     | 0.1278        | -                      | -                      |
| 0.8110     | 1680     | 0.1493        | -                      | -                      |
| 0.8158     | 1690     | 0.1751        | -                      | -                      |
| 0.8207     | 1700     | 0.1357        | -                      | -                      |
| 0.8255     | 1710     | 0.1187        | -                      | -                      |
| 0.8303     | 1720     | 0.1024        | -                      | -                      |
| 0.8351     | 1730     | 0.1238        | -                      | -                      |
| 0.8400     | 1740     | 0.1182        | -                      | -                      |
| 0.8448     | 1750     | 0.0882        | -                      | -                      |
| 0.8496     | 1760     | 0.1575        | -                      | -                      |
| 0.8545     | 1770     | 0.1378        | -                      | -                      |
| 0.8593     | 1780     | 0.1437        | -                      | -                      |
| 0.8641     | 1790     | 0.1121        | -                      | -                      |
| 0.8689     | 1800     | 0.1132        | -                      | -                      |
| 0.8738     | 1810     | 0.136         | -                      | -                      |
| 0.8786     | 1820     | 0.1421        | -                      | -                      |
| 0.8834     | 1830     | 0.1226        | -                      | -                      |
| 0.8882     | 1840     | 0.1345        | -                      | -                      |
| 0.8931     | 1850     | 0.132         | -                      | -                      |
| 0.8979     | 1860     | 0.1698        | -                      | -                      |
| 0.9027     | 1870     | 0.1307        | -                      | -                      |
| 0.9076     | 1880     | 0.0975        | -                      | -                      |
| 0.9124     | 1890     | 0.1166        | -                      | -                      |
| 0.9172     | 1900     | 0.1228        | -                      | -                      |
| 0.9220     | 1910     | 0.1339        | -                      | -                      |
| 0.9269     | 1920     | 0.1015        | -                      | -                      |
| 0.9317     | 1930     | 0.1037        | -                      | -                      |
| 0.9365     | 1940     | 0.1246        | -                      | -                      |
| 0.9413     | 1950     | 0.1302        | -                      | -                      |
| 0.9462     | 1960     | 0.144         | -                      | -                      |
| 0.9510     | 1970     | 0.128         | -                      | -                      |
| 0.9558     | 1980     | 0.1592        | -                      | -                      |
| 0.9607     | 1990     | 0.1218        | -                      | -                      |
| 0.9655     | 2000     | 0.136         | -                      | -                      |
| 0.9703     | 2010     | 0.1093        | -                      | -                      |
| 0.9751     | 2020     | 0.1364        | -                      | -                      |
| 0.9800     | 2030     | 0.1534        | -                      | -                      |
| 0.9848     | 2040     | 0.1066        | -                      | -                      |
| 0.9896     | 2050     | 0.0906        | -                      | -                      |
| 0.9944     | 2060     | 0.1656        | -                      | -                      |
| 0.9993     | 2070     | 0.1304        | -                      | -                      |
| **0.9998** | **2071** | **-**         | **0.2679**             | **0.2559**             |
| 1.0041     | 2080     | 0.0858        | -                      | -                      |
| 1.0089     | 2090     | 0.1428        | -                      | -                      |
| 1.0138     | 2100     | 0.1223        | -                      | -                      |
| 1.0186     | 2110     | 0.1171        | -                      | -                      |
| 1.0234     | 2120     | 0.1148        | -                      | -                      |
| 1.0282     | 2130     | 0.1135        | -                      | -                      |
| 1.0331     | 2140     | 0.1257        | -                      | -                      |
| 1.0379     | 2150     | 0.1401        | -                      | -                      |
| 1.0427     | 2160     | 0.116         | -                      | -                      |
| 1.0476     | 2170     | 0.0878        | -                      | -                      |
| 1.0524     | 2180     | 0.1154        | -                      | -                      |
| 1.0572     | 2190     | 0.0801        | -                      | -                      |
| 1.0620     | 2200     | 0.118         | -                      | -                      |
| 1.0669     | 2210     | 0.127         | -                      | -                      |
| 1.0717     | 2220     | 0.125         | -                      | -                      |
| 1.0765     | 2230     | 0.1178        | -                      | -                      |
| 1.0813     | 2240     | 0.0835        | -                      | -                      |
| 1.0862     | 2250     | 0.0968        | -                      | -                      |
| 1.0910     | 2260     | 0.1122        | -                      | -                      |
| 1.0958     | 2270     | 0.1019        | -                      | -                      |
| 1.1007     | 2280     | 0.1086        | -                      | -                      |
| 1.1055     | 2290     | 0.0991        | -                      | -                      |
| 1.1103     | 2300     | 0.1141        | -                      | -                      |
| 1.1151     | 2310     | 0.1424        | -                      | -                      |
| 1.1200     | 2320     | 0.104         | -                      | -                      |
| 1.1248     | 2330     | 0.1239        | -                      | -                      |
| 1.1296     | 2340     | 0.0829        | -                      | -                      |
| 1.1344     | 2350     | 0.0706        | -                      | -                      |
| 1.1393     | 2360     | 0.0813        | -                      | -                      |
| 1.1441     | 2370     | 0.0796        | -                      | -                      |
| 1.1489     | 2380     | 0.1472        | -                      | -                      |
| 1.1538     | 2390     | 0.1315        | -                      | -                      |
| 1.1586     | 2400     | 0.1264        | -                      | -                      |
| 1.1634     | 2410     | 0.0706        | -                      | -                      |
| 1.1682     | 2420     | 0.0857        | -                      | -                      |
| 1.1731     | 2430     | 0.1078        | -                      | -                      |
| 1.1779     | 2440     | 0.0851        | -                      | -                      |
| 1.1827     | 2450     | 0.1095        | -                      | -                      |
| 1.1875     | 2460     | 0.1406        | -                      | -                      |
| 1.1924     | 2470     | 0.0932        | -                      | -                      |
| 1.1972     | 2480     | 0.1107        | -                      | -                      |
| 1.2020     | 2490     | 0.0941        | -                      | -                      |
| 1.2069     | 2500     | 0.0846        | -                      | -                      |
| 1.2117     | 2510     | 0.0785        | -                      | -                      |
| 1.2165     | 2520     | 0.0877        | -                      | -                      |
| 1.2213     | 2530     | 0.0871        | -                      | -                      |
| 1.2262     | 2540     | 0.0905        | -                      | -                      |
| 1.2310     | 2550     | 0.0769        | -                      | -                      |
| 1.2358     | 2560     | 0.0788        | -                      | -                      |
| 1.2406     | 2570     | 0.066         | -                      | -                      |
| 1.2455     | 2580     | 0.1077        | -                      | -                      |
| 1.2503     | 2590     | 0.0717        | -                      | -                      |
| 1.2551     | 2600     | 0.0902        | -                      | -                      |
| 1.2600     | 2610     | 0.0779        | -                      | -                      |
| 1.2648     | 2620     | 0.0735        | -                      | -                      |
| 1.2696     | 2630     | 0.0475        | -                      | -                      |
| 1.2744     | 2640     | 0.0549        | -                      | -                      |
| 1.2793     | 2650     | 0.0699        | -                      | -                      |
| 1.2841     | 2660     | 0.0804        | -                      | -                      |
| 1.2889     | 2670     | 0.095         | -                      | -                      |
| 1.2937     | 2680     | 0.0787        | -                      | -                      |
| 1.2986     | 2690     | 0.0708        | -                      | -                      |
| 1.3034     | 2700     | 0.1206        | -                      | -                      |
| 1.3082     | 2710     | 0.0582        | -                      | -                      |
| 1.3131     | 2720     | 0.0859        | -                      | -                      |
| 1.3179     | 2730     | 0.0553        | -                      | -                      |
| 1.3227     | 2740     | 0.0433        | -                      | -                      |
| 1.3275     | 2750     | 0.0725        | -                      | -                      |
| 1.3324     | 2760     | 0.0798        | -                      | -                      |
| 1.3372     | 2770     | 0.0683        | -                      | -                      |
| 1.3420     | 2780     | 0.0489        | -                      | -                      |
| 1.3469     | 2790     | 0.0685        | -                      | -                      |
| 1.3517     | 2800     | 0.0951        | -                      | -                      |
| 1.3565     | 2810     | 0.073         | -                      | -                      |
| 1.3613     | 2820     | 0.0687        | -                      | -                      |
| 1.3662     | 2830     | 0.0897        | -                      | -                      |
| 1.3710     | 2840     | 0.0509        | -                      | -                      |
| 1.3758     | 2850     | 0.0554        | -                      | -                      |
| 1.3806     | 2860     | 0.0736        | -                      | -                      |
| 1.3855     | 2870     | 0.0547        | -                      | -                      |
| 1.3903     | 2880     | 0.046         | -                      | -                      |
| 1.3951     | 2890     | 0.0553        | -                      | -                      |
| 1.4000     | 2900     | 0.0888        | -                      | -                      |
| 1.4048     | 2910     | 0.0487        | -                      | -                      |
| 1.4096     | 2920     | 0.0358        | -                      | -                      |
| 1.4144     | 2930     | 0.0434        | -                      | -                      |
| 1.4193     | 2940     | 0.0402        | -                      | -                      |
| 1.4241     | 2950     | 0.0581        | -                      | -                      |
| 1.4289     | 2960     | 0.0761        | -                      | -                      |
| 1.4337     | 2970     | 0.0766        | -                      | -                      |
| 1.4386     | 2980     | 0.0662        | -                      | -                      |
| 1.4434     | 2990     | 0.0434        | -                      | -                      |
| 1.4482     | 3000     | 0.0437        | -                      | -                      |
| 1.4531     | 3010     | 0.0777        | -                      | -                      |
| 1.4579     | 3020     | 0.0766        | -                      | -                      |
| 1.4627     | 3030     | 0.0455        | -                      | -                      |
| 1.4675     | 3040     | 0.0894        | -                      | -                      |
| 1.4724     | 3050     | 0.0532        | -                      | -                      |
| 1.4772     | 3060     | 0.039         | -                      | -                      |
| 1.4820     | 3070     | 0.1039        | -                      | -                      |
| 1.4868     | 3080     | 0.0757        | -                      | -                      |
| 1.4917     | 3090     | 0.0516        | -                      | -                      |
| 1.4965     | 3100     | 0.0661        | -                      | -                      |
| 1.5013     | 3110     | 0.0482        | -                      | -                      |
| 1.5062     | 3120     | 0.0707        | -                      | -                      |
| 1.5110     | 3130     | 0.0529        | -                      | -                      |
| 1.5158     | 3140     | 0.0539        | -                      | -                      |
| 1.5206     | 3150     | 0.0593        | -                      | -                      |
| 1.5255     | 3160     | 0.0825        | -                      | -                      |
| 1.5303     | 3170     | 0.0608        | -                      | -                      |
| 1.5351     | 3180     | 0.0428        | -                      | -                      |
| 1.5399     | 3190     | 0.0426        | -                      | -                      |
| 1.5448     | 3200     | 0.0515        | -                      | -                      |
| 1.5496     | 3210     | 0.0605        | -                      | -                      |
| 1.5544     | 3220     | 0.092         | -                      | -                      |
| 1.5593     | 3230     | 0.0382        | -                      | -                      |
| 1.5641     | 3240     | 0.0543        | -                      | -                      |
| 1.5689     | 3250     | 0.0624        | -                      | -                      |
| 1.5737     | 3260     | 0.0483        | -                      | -                      |
| 1.5786     | 3270     | 0.0454        | -                      | -                      |
| 1.5834     | 3280     | 0.0584        | -                      | -                      |
| 1.5882     | 3290     | 0.0745        | -                      | -                      |
| 1.5930     | 3300     | 0.04          | -                      | -                      |
| 1.5979     | 3310     | 0.0434        | -                      | -                      |
| 1.6027     | 3320     | 0.0483        | -                      | -                      |
| 1.6075     | 3330     | 0.0928        | -                      | -                      |
| 1.6124     | 3340     | 0.0532        | -                      | -                      |
| 1.6172     | 3350     | 0.0498        | -                      | -                      |
| 1.6220     | 3360     | 0.0469        | -                      | -                      |
| 1.6268     | 3370     | 0.0274        | -                      | -                      |
| 1.6317     | 3380     | 0.0379        | -                      | -                      |
| 1.6365     | 3390     | 0.0478        | -                      | -                      |
| 1.6413     | 3400     | 0.0506        | -                      | -                      |
| 1.6462     | 3410     | 0.057         | -                      | -                      |
| 1.6510     | 3420     | 0.0471        | -                      | -                      |
| 1.6558     | 3430     | 0.0541        | -                      | -                      |
| 1.6606     | 3440     | 0.0726        | -                      | -                      |
| 1.6655     | 3450     | 0.0389        | -                      | -                      |
| 1.6703     | 3460     | 0.0679        | -                      | -                      |
| 1.6751     | 3470     | 0.0584        | -                      | -                      |
| 1.6799     | 3480     | 0.0653        | -                      | -                      |
| 1.6848     | 3490     | 0.06          | -                      | -                      |
| 1.6896     | 3500     | 0.0592        | -                      | -                      |
| 1.6944     | 3510     | 0.059         | -                      | -                      |
| 1.6993     | 3520     | 0.0517        | -                      | -                      |
| 1.7041     | 3530     | 0.0495        | -                      | -                      |
| 1.7089     | 3540     | 0.0455        | -                      | -                      |
| 1.7137     | 3550     | 0.0377        | -                      | -                      |
| 1.7186     | 3560     | 0.0539        | -                      | -                      |
| 1.7234     | 3570     | 0.0401        | -                      | -                      |
| 1.7282     | 3580     | 0.0389        | -                      | -                      |
| 1.7330     | 3590     | 0.0482        | -                      | -                      |
| 1.7379     | 3600     | 0.0671        | -                      | -                      |
| 1.7427     | 3610     | 0.057         | -                      | -                      |
| 1.7475     | 3620     | 0.0389        | -                      | -                      |
| 1.7524     | 3630     | 0.0515        | -                      | -                      |
| 1.7572     | 3640     | 0.0356        | -                      | -                      |
| 1.7620     | 3650     | 0.0537        | -                      | -                      |
| 1.7668     | 3660     | 0.0617        | -                      | -                      |
| 1.7717     | 3670     | 0.0465        | -                      | -                      |
| 1.7765     | 3680     | 0.0538        | -                      | -                      |
| 1.7813     | 3690     | 0.0445        | -                      | -                      |
| 1.7861     | 3700     | 0.0417        | -                      | -                      |
| 1.7910     | 3710     | 0.0543        | -                      | -                      |
| 1.7958     | 3720     | 0.0387        | -                      | -                      |
| 1.8006     | 3730     | 0.0319        | -                      | -                      |
| 1.8055     | 3740     | 0.0518        | -                      | -                      |
| 1.8103     | 3750     | 0.0572        | -                      | -                      |
| 1.8151     | 3760     | 0.0815        | -                      | -                      |
| 1.8199     | 3770     | 0.0609        | -                      | -                      |
| 1.8248     | 3780     | 0.0428        | -                      | -                      |
| 1.8296     | 3790     | 0.0271        | -                      | -                      |
| 1.8344     | 3800     | 0.0296        | -                      | -                      |
| 1.8392     | 3810     | 0.047         | -                      | -                      |
| 1.8441     | 3820     | 0.031         | -                      | -                      |
| 1.8489     | 3830     | 0.0596        | -                      | -                      |
| 1.8537     | 3840     | 0.0615        | -                      | -                      |
| 1.8586     | 3850     | 0.0467        | -                      | -                      |
| 1.8634     | 3860     | 0.0516        | -                      | -                      |
| 1.8682     | 3870     | 0.0555        | -                      | -                      |
| 1.8730     | 3880     | 0.0446        | -                      | -                      |
| 1.8779     | 3890     | 0.0872        | -                      | -                      |
| 1.8827     | 3900     | 0.0408        | -                      | -                      |
| 1.8875     | 3910     | 0.0607        | -                      | -                      |
| 1.8923     | 3920     | 0.0415        | -                      | -                      |
| 1.8972     | 3930     | 0.0586        | -                      | -                      |
| 1.9020     | 3940     | 0.0526        | -                      | -                      |
| 1.9068     | 3950     | 0.0447        | -                      | -                      |
| 1.9117     | 3960     | 0.0565        | -                      | -                      |
| 1.9165     | 3970     | 0.0663        | -                      | -                      |
| 1.9213     | 3980     | 0.0476        | -                      | -                      |
| 1.9261     | 3990     | 0.0393        | -                      | -                      |
| 1.9310     | 4000     | 0.0407        | -                      | -                      |
| 1.9358     | 4010     | 0.0403        | -                      | -                      |
| 1.9406     | 4020     | 0.0413        | -                      | -                      |
| 1.9455     | 4030     | 0.0484        | -                      | -                      |
| 1.9503     | 4040     | 0.0581        | -                      | -                      |
| 1.9551     | 4050     | 0.0633        | -                      | -                      |
| 1.9599     | 4060     | 0.0444        | -                      | -                      |
| 1.9648     | 4070     | 0.0529        | -                      | -                      |
| 1.9696     | 4080     | 0.0423        | -                      | -                      |
| 1.9744     | 4090     | 0.0527        | -                      | -                      |
| 1.9792     | 4100     | 0.0719        | -                      | -                      |
| 1.9841     | 4110     | 0.0479        | -                      | -                      |
| 1.9889     | 4120     | 0.0478        | -                      | -                      |
| 1.9937     | 4130     | 0.0708        | -                      | -                      |
| 1.9986     | 4140     | 0.058         | -                      | -                      |
| 2.0        | 4143     | -             | 0.2672                 | 0.2575                 |
| 2.0034     | 4150     | 0.0274        | -                      | -                      |
| 2.0082     | 4160     | 0.0384        | -                      | -                      |
| 2.0130     | 4170     | 0.0639        | -                      | -                      |
| 2.0179     | 4180     | 0.0462        | -                      | -                      |
| 2.0227     | 4190     | 0.0438        | -                      | -                      |
| 2.0275     | 4200     | 0.0395        | -                      | -                      |
| 2.0323     | 4210     | 0.0591        | -                      | -                      |
| 2.0372     | 4220     | 0.0519        | -                      | -                      |
| 2.0420     | 4230     | 0.0543        | -                      | -                      |
| 2.0468     | 4240     | 0.0292        | -                      | -                      |
| 2.0517     | 4250     | 0.0449        | -                      | -                      |
| 2.0565     | 4260     | 0.0552        | -                      | -                      |
| 2.0613     | 4270     | 0.0398        | -                      | -                      |
| 2.0661     | 4280     | 0.0647        | -                      | -                      |
| 2.0710     | 4290     | 0.0401        | -                      | -                      |
| 2.0758     | 4300     | 0.0419        | -                      | -                      |
| 2.0806     | 4310     | 0.0369        | -                      | -                      |
| 2.0854     | 4320     | 0.0271        | -                      | -                      |
| 2.0903     | 4330     | 0.074         | -                      | -                      |
| 2.0951     | 4340     | 0.0454        | -                      | -                      |
| 2.0999     | 4350     | 0.0439        | -                      | -                      |
| 2.1048     | 4360     | 0.0509        | -                      | -                      |
| 2.1096     | 4370     | 0.0677        | -                      | -                      |
| 2.1144     | 4380     | 0.0514        | -                      | -                      |
| 2.1192     | 4390     | 0.0437        | -                      | -                      |
| 2.1241     | 4400     | 0.069         | -                      | -                      |
| 2.1289     | 4410     | 0.0288        | -                      | -                      |
| 2.1337     | 4420     | 0.0323        | -                      | -                      |
| 2.1385     | 4430     | 0.0233        | -                      | -                      |
| 2.1434     | 4440     | 0.0322        | -                      | -                      |
| 2.1482     | 4450     | 0.0627        | -                      | -                      |
| 2.1530     | 4460     | 0.0557        | -                      | -                      |
| 2.1579     | 4470     | 0.0649        | -                      | -                      |
| 2.1627     | 4480     | 0.0305        | -                      | -                      |
| 2.1675     | 4490     | 0.0267        | -                      | -                      |
| 2.1723     | 4500     | 0.0325        | -                      | -                      |
| 2.1772     | 4510     | 0.034         | -                      | -                      |
| 2.1820     | 4520     | 0.0461        | -                      | -                      |
| 2.1868     | 4530     | 0.0679        | -                      | -                      |
| 2.1916     | 4540     | 0.033         | -                      | -                      |
| 2.1965     | 4550     | 0.0483        | -                      | -                      |
| 2.2013     | 4560     | 0.0425        | -                      | -                      |
| 2.2061     | 4570     | 0.0336        | -                      | -                      |
| 2.2110     | 4580     | 0.034         | -                      | -                      |
| 2.2158     | 4590     | 0.0382        | -                      | -                      |
| 2.2206     | 4600     | 0.0372        | -                      | -                      |
| 2.2254     | 4610     | 0.0396        | -                      | -                      |
| 2.2303     | 4620     | 0.0299        | -                      | -                      |
| 2.2351     | 4630     | 0.0258        | -                      | -                      |
| 2.2399     | 4640     | 0.0322        | -                      | -                      |
| 2.2448     | 4650     | 0.0392        | -                      | -                      |
| 2.2496     | 4660     | 0.0396        | -                      | -                      |
| 2.2544     | 4670     | 0.0406        | -                      | -                      |
| 2.2592     | 4680     | 0.0285        | -                      | -                      |
| 2.2641     | 4690     | 0.0337        | -                      | -                      |
| 2.2689     | 4700     | 0.0238        | -                      | -                      |
| 2.2737     | 4710     | 0.02          | -                      | -                      |
| 2.2785     | 4720     | 0.0347        | -                      | -                      |
| 2.2834     | 4730     | 0.0238        | -                      | -                      |
| 2.2882     | 4740     | 0.045         | -                      | -                      |
| 2.2930     | 4750     | 0.0297        | -                      | -                      |
| 2.2979     | 4760     | 0.0319        | -                      | -                      |
| 2.3027     | 4770     | 0.0502        | -                      | -                      |
| 2.3075     | 4780     | 0.0362        | -                      | -                      |
| 2.3123     | 4790     | 0.0329        | -                      | -                      |
| 2.3172     | 4800     | 0.0219        | -                      | -                      |
| 2.3220     | 4810     | 0.0176        | -                      | -                      |
| 2.3268     | 4820     | 0.0282        | -                      | -                      |
| 2.3316     | 4830     | 0.0374        | -                      | -                      |
| 2.3365     | 4840     | 0.0429        | -                      | -                      |
| 2.3413     | 4850     | 0.0164        | -                      | -                      |
| 2.3461     | 4860     | 0.0404        | -                      | -                      |
| 2.3510     | 4870     | 0.0287        | -                      | -                      |
| 2.3558     | 4880     | 0.0239        | -                      | -                      |
| 2.3606     | 4890     | 0.0402        | -                      | -                      |
| 2.3654     | 4900     | 0.0341        | -                      | -                      |
| 2.3703     | 4910     | 0.0204        | -                      | -                      |
| 2.3751     | 4920     | 0.0328        | -                      | -                      |
| 2.3799     | 4930     | 0.0388        | -                      | -                      |
| 2.3847     | 4940     | 0.0222        | -                      | -                      |
| 2.3896     | 4950     | 0.0221        | -                      | -                      |
| 2.3944     | 4960     | 0.0318        | -                      | -                      |
| 2.3992     | 4970     | 0.0401        | -                      | -                      |
| 2.4041     | 4980     | 0.0171        | -                      | -                      |
| 2.4089     | 4990     | 0.0195        | -                      | -                      |
| 2.4137     | 5000     | 0.019         | -                      | -                      |
| 2.4185     | 5010     | 0.0163        | -                      | -                      |
| 2.4234     | 5020     | 0.0278        | -                      | -                      |
| 2.4282     | 5030     | 0.0399        | -                      | -                      |
| 2.4330     | 5040     | 0.0412        | -                      | -                      |
| 2.4378     | 5050     | 0.0254        | -                      | -                      |
| 2.4427     | 5060     | 0.0175        | -                      | -                      |
| 2.4475     | 5070     | 0.0251        | -                      | -                      |
| 2.4523     | 5080     | 0.0256        | -                      | -                      |
| 2.4572     | 5090     | 0.0294        | -                      | -                      |
| 2.4620     | 5100     | 0.0278        | -                      | -                      |
| 2.4668     | 5110     | 0.0435        | -                      | -                      |
| 2.4716     | 5120     | 0.0189        | -                      | -                      |
| 2.4765     | 5130     | 0.0195        | -                      | -                      |
| 2.4813     | 5140     | 0.045         | -                      | -                      |
| 2.4861     | 5150     | 0.0614        | -                      | -                      |
| 2.4909     | 5160     | 0.0234        | -                      | -                      |
| 2.4958     | 5170     | 0.0267        | -                      | -                      |
| 2.5006     | 5180     | 0.0294        | -                      | -                      |
| 2.5054     | 5190     | 0.0232        | -                      | -                      |
| 2.5103     | 5200     | 0.026         | -                      | -                      |
| 2.5151     | 5210     | 0.0292        | -                      | -                      |
| 2.5199     | 5220     | 0.0335        | -                      | -                      |
| 2.5247     | 5230     | 0.0311        | -                      | -                      |
| 2.5296     | 5240     | 0.0248        | -                      | -                      |
| 2.5344     | 5250     | 0.0223        | -                      | -                      |
| 2.5392     | 5260     | 0.0188        | -                      | -                      |
| 2.5441     | 5270     | 0.0206        | -                      | -                      |
| 2.5489     | 5280     | 0.0264        | -                      | -                      |
| 2.5537     | 5290     | 0.0479        | -                      | -                      |
| 2.5585     | 5300     | 0.0181        | -                      | -                      |
| 2.5634     | 5310     | 0.0212        | -                      | -                      |
| 2.5682     | 5320     | 0.0207        | -                      | -                      |
| 2.5730     | 5330     | 0.0233        | -                      | -                      |
| 2.5778     | 5340     | 0.0227        | -                      | -                      |
| 2.5827     | 5350     | 0.0239        | -                      | -                      |
| 2.5875     | 5360     | 0.0267        | -                      | -                      |
| 2.5923     | 5370     | 0.0215        | -                      | -                      |
| 2.5972     | 5380     | 0.0164        | -                      | -                      |
| 2.6020     | 5390     | 0.021         | -                      | -                      |
| 2.6068     | 5400     | 0.0392        | -                      | -                      |
| 2.6116     | 5410     | 0.0277        | -                      | -                      |
| 2.6165     | 5420     | 0.0219        | -                      | -                      |
| 2.6213     | 5430     | 0.0221        | -                      | -                      |
| 2.6261     | 5440     | 0.018         | -                      | -                      |
| 2.6309     | 5450     | 0.0159        | -                      | -                      |
| 2.6358     | 5460     | 0.0213        | -                      | -                      |
| 2.6406     | 5470     | 0.0239        | -                      | -                      |
| 2.6454     | 5480     | 0.0289        | -                      | -                      |
| 2.6503     | 5490     | 0.0229        | -                      | -                      |
| 2.6551     | 5500     | 0.0307        | -                      | -                      |
| 2.6599     | 5510     | 0.0416        | -                      | -                      |
| 2.6647     | 5520     | 0.0191        | -                      | -                      |
| 2.6696     | 5530     | 0.0335        | -                      | -                      |
| 2.6744     | 5540     | 0.0402        | -                      | -                      |
| 2.6792     | 5550     | 0.0294        | -                      | -                      |
| 2.6840     | 5560     | 0.0222        | -                      | -                      |
| 2.6889     | 5570     | 0.0296        | -                      | -                      |
| 2.6937     | 5580     | 0.0347        | -                      | -                      |
| 2.6985     | 5590     | 0.0217        | -                      | -                      |
| 2.7034     | 5600     | 0.0163        | -                      | -                      |
| 2.7082     | 5610     | 0.0209        | -                      | -                      |
| 2.7130     | 5620     | 0.0195        | -                      | -                      |
| 2.7178     | 5630     | 0.0273        | -                      | -                      |
| 2.7227     | 5640     | 0.0169        | -                      | -                      |
| 2.7275     | 5650     | 0.0191        | -                      | -                      |
| 2.7323     | 5660     | 0.0166        | -                      | -                      |
| 2.7371     | 5670     | 0.0265        | -                      | -                      |
| 2.7420     | 5680     | 0.0313        | -                      | -                      |
| 2.7468     | 5690     | 0.0215        | -                      | -                      |
| 2.7516     | 5700     | 0.0228        | -                      | -                      |
| 2.7565     | 5710     | 0.0208        | -                      | -                      |
| 2.7613     | 5720     | 0.0206        | -                      | -                      |
| 2.7661     | 5730     | 0.0208        | -                      | -                      |
| 2.7709     | 5740     | 0.0317        | -                      | -                      |
| 2.7758     | 5750     | 0.0283        | -                      | -                      |
| 2.7806     | 5760     | 0.0206        | -                      | -                      |
| 2.7854     | 5770     | 0.0145        | -                      | -                      |
| 2.7902     | 5780     | 0.0238        | -                      | -                      |
| 2.7951     | 5790     | 0.0228        | -                      | -                      |
| 2.7999     | 5800     | 0.0133        | -                      | -                      |
| 2.8047     | 5810     | 0.0194        | -                      | -                      |
| 2.8096     | 5820     | 0.0398        | -                      | -                      |
| 2.8144     | 5830     | 0.025         | -                      | -                      |
| 2.8192     | 5840     | 0.0309        | -                      | -                      |
| 2.8240     | 5850     | 0.0355        | -                      | -                      |
| 2.8289     | 5860     | 0.0123        | -                      | -                      |
| 2.8337     | 5870     | 0.0182        | -                      | -                      |
| 2.8385     | 5880     | 0.023         | -                      | -                      |
| 2.8434     | 5890     | 0.0191        | -                      | -                      |
| 2.8482     | 5900     | 0.023         | -                      | -                      |
| 2.8530     | 5910     | 0.0356        | -                      | -                      |
| 2.8578     | 5920     | 0.0239        | -                      | -                      |
| 2.8627     | 5930     | 0.0203        | -                      | -                      |
| 2.8675     | 5940     | 0.0154        | -                      | -                      |
| 2.8723     | 5950     | 0.025         | -                      | -                      |
| 2.8771     | 5960     | 0.0491        | -                      | -                      |
| 2.8820     | 5970     | 0.0205        | -                      | -                      |
| 2.8868     | 5980     | 0.03          | -                      | -                      |
| 2.8916     | 5990     | 0.0249        | -                      | -                      |
| 2.8965     | 6000     | 0.0355        | -                      | -                      |
| 2.9013     | 6010     | 0.0277        | -                      | -                      |
| 2.9061     | 6020     | 0.0231        | -                      | -                      |
| 2.9109     | 6030     | 0.0202        | -                      | -                      |
| 2.9158     | 6040     | 0.0294        | -                      | -                      |
| 2.9206     | 6050     | 0.0181        | -                      | -                      |
| 2.9254     | 6060     | 0.0179        | -                      | -                      |
| 2.9302     | 6070     | 0.0275        | -                      | -                      |
| 2.9351     | 6080     | 0.0211        | -                      | -                      |
| 2.9399     | 6090     | 0.0191        | -                      | -                      |
| 2.9447     | 6100     | 0.0233        | -                      | -                      |
| 2.9496     | 6110     | 0.0302        | -                      | -                      |
| 2.9544     | 6120     | 0.0344        | -                      | -                      |
| 2.9592     | 6130     | 0.0391        | -                      | -                      |
| 2.9640     | 6140     | 0.0242        | -                      | -                      |
| 2.9689     | 6150     | 0.0212        | -                      | -                      |
| 2.9737     | 6160     | 0.0404        | -                      | -                      |
| 2.9785     | 6170     | 0.0428        | -                      | -                      |
| 2.9833     | 6180     | 0.0206        | -                      | -                      |
| 2.9882     | 6190     | 0.0265        | -                      | -                      |
| 2.9930     | 6200     | 0.0378        | -                      | -                      |
| 2.9978     | 6210     | 0.0255        | -                      | -                      |
| 2.9998     | 6214     | -             | 0.2628                 | 0.2557                 |
| 3.0027     | 6220     | 0.024         | -                      | -                      |
| 3.0075     | 6230     | 0.0198        | -                      | -                      |
| 3.0123     | 6240     | 0.0234        | -                      | -                      |
| 3.0171     | 6250     | 0.0424        | -                      | -                      |
| 3.0220     | 6260     | 0.0297        | -                      | -                      |
| 3.0268     | 6270     | 0.0209        | -                      | -                      |
| 3.0316     | 6280     | 0.0344        | -                      | -                      |
| 3.0364     | 6290     | 0.0273        | -                      | -                      |
| 3.0413     | 6300     | 0.0247        | -                      | -                      |
| 3.0461     | 6310     | 0.0206        | -                      | -                      |
| 3.0509     | 6320     | 0.0231        | -                      | -                      |
| 3.0558     | 6330     | 0.0265        | -                      | -                      |
| 3.0606     | 6340     | 0.0198        | -                      | -                      |
| 3.0654     | 6350     | 0.0389        | -                      | -                      |
| 3.0702     | 6360     | 0.0171        | -                      | -                      |
| 3.0751     | 6370     | 0.0235        | -                      | -                      |
| 3.0799     | 6380     | 0.0228        | -                      | -                      |
| 3.0847     | 6390     | 0.0184        | -                      | -                      |
| 3.0895     | 6400     | 0.0459        | -                      | -                      |
| 3.0944     | 6410     | 0.0222        | -                      | -                      |
| 3.0992     | 6420     | 0.0186        | -                      | -                      |
| 3.1040     | 6430     | 0.0246        | -                      | -                      |
| 3.1089     | 6440     | 0.0446        | -                      | -                      |
| 3.1137     | 6450     | 0.0333        | -                      | -                      |
| 3.1185     | 6460     | 0.0205        | -                      | -                      |
| 3.1233     | 6470     | 0.0228        | -                      | -                      |
| 3.1282     | 6480     | 0.0287        | -                      | -                      |
| 3.1330     | 6490     | 0.0205        | -                      | -                      |
| 3.1378     | 6500     | 0.0143        | -                      | -                      |
| 3.1427     | 6510     | 0.0159        | -                      | -                      |
| 3.1475     | 6520     | 0.0367        | -                      | -                      |
| 3.1523     | 6530     | 0.0327        | -                      | -                      |
| 3.1571     | 6540     | 0.0355        | -                      | -                      |
| 3.1620     | 6550     | 0.0202        | -                      | -                      |
| 3.1668     | 6560     | 0.0133        | -                      | -                      |
| 3.1716     | 6570     | 0.0143        | -                      | -                      |
| 3.1764     | 6580     | 0.0171        | -                      | -                      |
| 3.1813     | 6590     | 0.0208        | -                      | -                      |
| 3.1861     | 6600     | 0.0368        | -                      | -                      |
| 3.1909     | 6610     | 0.0238        | -                      | -                      |
| 3.1958     | 6620     | 0.0276        | -                      | -                      |
| 3.2006     | 6630     | 0.0269        | -                      | -                      |
| 3.2054     | 6640     | 0.0152        | -                      | -                      |
| 3.2102     | 6650     | 0.0229        | -                      | -                      |
| 3.2151     | 6660     | 0.0189        | -                      | -                      |
| 3.2199     | 6670     | 0.0206        | -                      | -                      |
| 3.2247     | 6680     | 0.0206        | -                      | -                      |
| 3.2295     | 6690     | 0.0164        | -                      | -                      |
| 3.2344     | 6700     | 0.0121        | -                      | -                      |
| 3.2392     | 6710     | 0.0224        | -                      | -                      |
| 3.2440     | 6720     | 0.0193        | -                      | -                      |
| 3.2489     | 6730     | 0.0213        | -                      | -                      |
| 3.2537     | 6740     | 0.0216        | -                      | -                      |
| 3.2585     | 6750     | 0.0155        | -                      | -                      |
| 3.2633     | 6760     | 0.0185        | -                      | -                      |
| 3.2682     | 6770     | 0.018         | -                      | -                      |
| 3.2730     | 6780     | 0.0107        | -                      | -                      |
| 3.2778     | 6790     | 0.0218        | -                      | -                      |
| 3.2826     | 6800     | 0.0161        | -                      | -                      |
| 3.2875     | 6810     | 0.0256        | -                      | -                      |
| 3.2923     | 6820     | 0.015         | -                      | -                      |
| 3.2971     | 6830     | 0.0132        | -                      | -                      |
| 3.3020     | 6840     | 0.0228        | -                      | -                      |
| 3.3068     | 6850     | 0.0274        | -                      | -                      |
| 3.3116     | 6860     | 0.0232        | -                      | -                      |
| 3.3164     | 6870     | 0.0122        | -                      | -                      |
| 3.3213     | 6880     | 0.0101        | -                      | -                      |
| 3.3261     | 6890     | 0.0138        | -                      | -                      |
| 3.3309     | 6900     | 0.0223        | -                      | -                      |
| 3.3357     | 6910     | 0.018         | -                      | -                      |
| 3.3406     | 6920     | 0.0105        | -                      | -                      |
| 3.3454     | 6930     | 0.0212        | -                      | -                      |
| 3.3502     | 6940     | 0.0189        | -                      | -                      |
| 3.3551     | 6950     | 0.0115        | -                      | -                      |
| 3.3599     | 6960     | 0.0187        | -                      | -                      |
| 3.3647     | 6970     | 0.0237        | -                      | -                      |
| 3.3695     | 6980     | 0.0172        | -                      | -                      |
| 3.3744     | 6990     | 0.0148        | -                      | -                      |
| 3.3792     | 7000     | 0.0234        | -                      | -                      |
| 3.3840     | 7010     | 0.0139        | -                      | -                      |
| 3.3888     | 7020     | 0.012         | -                      | -                      |
| 3.3937     | 7030     | 0.0181        | -                      | -                      |
| 3.3985     | 7040     | 0.0247        | -                      | -                      |
| 3.4033     | 7050     | 0.0114        | -                      | -                      |
| 3.4082     | 7060     | 0.0107        | -                      | -                      |
| 3.4130     | 7070     | 0.0133        | -                      | -                      |
| 3.4178     | 7080     | 0.0092        | -                      | -                      |
| 3.4226     | 7090     | 0.0168        | -                      | -                      |
| 3.4275     | 7100     | 0.0225        | -                      | -                      |
| 3.4323     | 7110     | 0.0127        | -                      | -                      |
| 3.4371     | 7120     | 0.0231        | -                      | -                      |
| 3.4420     | 7130     | 0.0104        | -                      | -                      |
| 3.4468     | 7140     | 0.0114        | -                      | -                      |
| 3.4516     | 7150     | 0.0084        | -                      | -                      |
| 3.4564     | 7160     | 0.0261        | -                      | -                      |
| 3.4613     | 7170     | 0.0201        | -                      | -                      |
| 3.4661     | 7180     | 0.0251        | -                      | -                      |
| 3.4709     | 7190     | 0.0135        | -                      | -                      |
| 3.4757     | 7200     | 0.0126        | -                      | -                      |
| 3.4806     | 7210     | 0.0257        | -                      | -                      |
| 3.4854     | 7220     | 0.0369        | -                      | -                      |
| 3.4902     | 7230     | 0.0137        | -                      | -                      |
| 3.4951     | 7240     | 0.016         | -                      | -                      |
| 3.4999     | 7250     | 0.0187        | -                      | -                      |
| 3.5047     | 7260     | 0.0156        | -                      | -                      |
| 3.5095     | 7270     | 0.0141        | -                      | -                      |
| 3.5144     | 7280     | 0.0258        | -                      | -                      |
| 3.5192     | 7290     | 0.0283        | -                      | -                      |
| 3.5240     | 7300     | 0.02          | -                      | -                      |
| 3.5288     | 7310     | 0.0283        | -                      | -                      |
| 3.5337     | 7320     | 0.0142        | -                      | -                      |
| 3.5385     | 7330     | 0.0107        | -                      | -                      |
| 3.5433     | 7340     | 0.0144        | -                      | -                      |
| 3.5482     | 7350     | 0.0146        | -                      | -                      |
| 3.5530     | 7360     | 0.0321        | -                      | -                      |
| 3.5578     | 7370     | 0.0101        | -                      | -                      |
| 3.5626     | 7380     | 0.0145        | -                      | -                      |
| 3.5675     | 7390     | 0.0132        | -                      | -                      |
| 3.5723     | 7400     | 0.0159        | -                      | -                      |
| 3.5771     | 7410     | 0.0167        | -                      | -                      |
| 3.5819     | 7420     | 0.0116        | -                      | -                      |
| 3.5868     | 7430     | 0.0175        | -                      | -                      |
| 3.5916     | 7440     | 0.0156        | -                      | -                      |
| 3.5964     | 7450     | 0.0096        | -                      | -                      |
| 3.6013     | 7460     | 0.0156        | -                      | -                      |
| 3.6061     | 7470     | 0.0251        | -                      | -                      |
| 3.6109     | 7480     | 0.0163        | -                      | -                      |
| 3.6157     | 7490     | 0.0118        | -                      | -                      |
| 3.6206     | 7500     | 0.0161        | -                      | -                      |
| 3.6254     | 7510     | 0.0131        | -                      | -                      |
| 3.6302     | 7520     | 0.0091        | -                      | -                      |
| 3.6350     | 7530     | 0.0136        | -                      | -                      |
| 3.6399     | 7540     | 0.0175        | -                      | -                      |
| 3.6447     | 7550     | 0.0213        | -                      | -                      |
| 3.6495     | 7560     | 0.0168        | -                      | -                      |
| 3.6544     | 7570     | 0.02          | -                      | -                      |
| 3.6592     | 7580     | 0.0204        | -                      | -                      |
| 3.6640     | 7590     | 0.0132        | -                      | -                      |
| 3.6688     | 7600     | 0.0254        | -                      | -                      |
| 3.6737     | 7610     | 0.0313        | -                      | -                      |
| 3.6785     | 7620     | 0.0107        | -                      | -                      |
| 3.6833     | 7630     | 0.0241        | -                      | -                      |
| 3.6881     | 7640     | 0.0188        | -                      | -                      |
| 3.6930     | 7650     | 0.0166        | -                      | -                      |
| 3.6978     | 7660     | 0.021         | -                      | -                      |
| 3.7026     | 7670     | 0.0126        | -                      | -                      |
| 3.7075     | 7680     | 0.0148        | -                      | -                      |
| 3.7123     | 7690     | 0.0155        | -                      | -                      |
| 3.7171     | 7700     | 0.0117        | -                      | -                      |
| 3.7219     | 7710     | 0.0124        | -                      | -                      |
| 3.7268     | 7720     | 0.0121        | -                      | -                      |
| 3.7316     | 7730     | 0.0118        | -                      | -                      |
| 3.7364     | 7740     | 0.0182        | -                      | -                      |
| 3.7413     | 7750     | 0.0168        | -                      | -                      |
| 3.7461     | 7760     | 0.0146        | -                      | -                      |
| 3.7509     | 7770     | 0.0199        | -                      | -                      |
| 3.7557     | 7780     | 0.0109        | -                      | -                      |
| 3.7606     | 7790     | 0.0192        | -                      | -                      |
| 3.7654     | 7800     | 0.014         | -                      | -                      |
| 3.7702     | 7810     | 0.0261        | -                      | -                      |
| 3.7750     | 7820     | 0.0176        | -                      | -                      |
| 3.7799     | 7830     | 0.0156        | -                      | -                      |
| 3.7847     | 7840     | 0.0112        | -                      | -                      |
| 3.7895     | 7850     | 0.0136        | -                      | -                      |
| 3.7944     | 7860     | 0.0174        | -                      | -                      |
| 3.7992     | 7870     | 0.0082        | -                      | -                      |
| 3.8040     | 7880     | 0.0111        | -                      | -                      |
| 3.8088     | 7890     | 0.0279        | -                      | -                      |
| 3.8137     | 7900     | 0.0206        | -                      | -                      |
| 3.8185     | 7910     | 0.0174        | -                      | -                      |
| 3.8233     | 7920     | 0.0263        | -                      | -                      |
| 3.8281     | 7930     | 0.0091        | -                      | -                      |
| 3.8330     | 7940     | 0.0127        | -                      | -                      |
| 3.8378     | 7950     | 0.0138        | -                      | -                      |
| 3.8426     | 7960     | 0.0168        | -                      | -                      |
| 3.8475     | 7970     | 0.0141        | -                      | -                      |
| 3.8523     | 7980     | 0.0317        | -                      | -                      |
| 3.8571     | 7990     | 0.0167        | -                      | -                      |
| 3.8619     | 8000     | 0.0151        | -                      | -                      |
| 3.8668     | 8010     | 0.0122        | -                      | -                      |
| 3.8716     | 8020     | 0.0167        | -                      | -                      |
| 3.8764     | 8030     | 0.0382        | -                      | -                      |
| 3.8812     | 8040     | 0.0128        | -                      | -                      |
| 3.8861     | 8050     | 0.0232        | -                      | -                      |
| 3.8909     | 8060     | 0.0222        | -                      | -                      |
| 3.8957     | 8070     | 0.0194        | -                      | -                      |
| 3.9006     | 8080     | 0.0191        | -                      | -                      |
| 3.9054     | 8090     | 0.0136        | -                      | -                      |
| 3.9102     | 8100     | 0.0106        | -                      | -                      |
| 3.9150     | 8110     | 0.0216        | -                      | -                      |
| 3.9199     | 8120     | 0.0178        | -                      | -                      |
| 3.9247     | 8130     | 0.0126        | -                      | -                      |
| 3.9295     | 8140     | 0.0158        | -                      | -                      |
| 3.9343     | 8150     | 0.0186        | -                      | -                      |
| 3.9392     | 8160     | 0.0167        | -                      | -                      |
| 3.9440     | 8170     | 0.0159        | -                      | -                      |
| 3.9488     | 8180     | 0.0174        | -                      | -                      |
| 3.9537     | 8190     | 0.0211        | -                      | -                      |
| 3.9585     | 8200     | 0.0245        | -                      | -                      |
| 3.9633     | 8210     | 0.0186        | -                      | -                      |
| 3.9681     | 8220     | 0.0162        | -                      | -                      |
| 3.9730     | 8230     | 0.0312        | -                      | -                      |
| 3.9778     | 8240     | 0.033         | -                      | -                      |
| 3.9826     | 8250     | 0.0147        | -                      | -                      |
| 3.9874     | 8260     | 0.0224        | -                      | -                      |
| 3.9923     | 8270     | 0.0215        | -                      | -                      |
| 3.9971     | 8280     | 0.0275        | -                      | -                      |
| 3.9990     | 8284     | -             | 0.2582                 | 0.2502                 |

* The bold row denotes the saved checkpoint.
</details>

### Framework Versions
- Python: 3.11.5
- Sentence Transformers: 3.3.1
- Transformers: 4.46.3
- PyTorch: 2.4.1+cu121
- Accelerate: 0.34.2
- Datasets: 3.0.0
- Tokenizers: 0.20.3

## Citation

### BibTeX

#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}
```

#### MatryoshkaLoss
```bibtex
@misc{kusupati2024matryoshka,
    title={Matryoshka Representation Learning},
    author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
    year={2024},
    eprint={2205.13147},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}
```

#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```

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