metadata

language:
  - bn
  - en
  - gu
  - hi
  - kn
  - ml
  - mr
  - or
  - pa
  - ta
  - te
  - ur
license: cc-by-4.0
size_categories:
  - 1M<n<10M
pretty_name: Pralekha
dataset_info:
  features:
    - name: n_id
      dtype: string
    - name: doc_id
      dtype: string
    - name: lang
      dtype: string
    - name: text
      dtype: string
  splits:
    - name: aligned
      num_bytes: 10274361211
      num_examples: 1566404
    - name: unaligned
      num_bytes: 4466506637
      num_examples: 783197
  download_size: 5812005886
  dataset_size: 14740867848
configs:
  - config_name: default
    data_files:
      - split: aligned
        path: data/aligned-*
      - split: unaligned
        path: data/unaligned-*
tags:
  - data-mining
  - document-alignment
  - parallel-corpus

Pralekha: An Indic Document Alignment Evaluation Benchmark

PRALEKHA is a large-scale benchmark for evaluating document-level alignment techniques. It includes 2M+ documents, covering 11 Indic languages and English, with a balanced mix of aligned and unaligned pairs.

Dataset Description

PRALEKHA covers 12 languages—Bengali (ben), Gujarati (guj), Hindi (hin), Kannada (kan), Malayalam (mal), Marathi (mar), Odia (ori), Punjabi (pan), Tamil (tam), Telugu (tel), Urdu (urd), and English (eng). It includes a mixture of high- and medium-resource languages, covering 11 different scripts. The dataset spans two broad domains: news bulletins and podcast scripts, offering both written and spoken forms of data. All the data is human-written or human-verified, ensuring high quality.

The dataset has a 1:2 ratio of aligned to unaligned document pairs, making it ideal for benchmarking cross-lingual document alignment techniques.

Data Fields

Each data sample includes:

n_id: Unique identifier for aligned document pairs.
doc_id: Unique identifier for individual documents.
lang: Language of the document (ISO-3 code).
text: The textual content of the document.

Data Sources

News Bulletins: Data was custom-scraped from the Indian Press Information Bureau (PIB) website. Documents were aligned by matching bulletin IDs, which interlink bulletins across languages.
Podcast Scripts: Data was sourced from Mann Ki Baat, a radio program hosted by the Indian Prime Minister. This program, originally spoken in Hindi, was manually transcribed and translated into various Indian languages.

Dataset Size Statistics

Split	Number of Documents	Size (bytes)
Aligned	1,566,404	10,274,361,211
Unaligned	783,197	4,466,506,637
Total	2,349,601	14,740,867,848

Language-wise Statistics

Language (`ISO-3`)	Aligned Documents	Unaligned Documents	Total Documents
Bengali (`ben`)	95,813	47,906	143,719
English (`eng`)	298,111	149,055	447,166
Gujarati (`guj`)	67,847	33,923	101,770
Hindi (`hin`)	204,809	102,404	307,213
Kannada (`kan`)	61,998	30,999	92,997
Malayalam (`mal`)	67,760	33,880	101,640
Marathi (`mar`)	135,301	67,650	202,951
Odia (`ori`)	46,167	23,083	69,250
Punjabi (`pan`)	108,459	54,229	162,688
Tamil (`tam`)	149,637	74,818	224,455
Telugu (`tel`)	110,077	55,038	165,115
Urdu (`urd`)	220,425	110,212	330,637

Usage

You can use the following commands to download and explore the dataset:

Downloading the Entire Dataset

from datasets import load_dataset

dataset = load_dataset("ai4bharat/pralekha")

Downloading a Specific Split (aligned or unaligned)

from datasets import load_dataset

dataset = load_dataset("ai4bharat/pralekha", split="<split_name>")
# For example: dataset = load_dataset("ai4bharat/pralekha", split="aligned")

Downloading a Specific Language from a Split

from datasets import load_dataset

dataset = load_dataset("ai4bharat/pralekha", split="<split_name>/<lang_code>")
# For example: dataset = load_dataset("ai4bharat/pralekha", split="aligned/ben")

License

This dataset is released under the CC BY 4.0 license.

Contact

For any questions or feedback, please contact:

Raj Dabre ([email protected])
Sanjay Suryanarayanan ([email protected])
Haiyue Song ([email protected])
Mohammed Safi Ur Rahman Khan ([email protected])