Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
named-entity-recognition
Languages:
Italian
Size:
10K - 100K
License:
feat: initial commit
Browse filesCurrent version of the dataset has a list of entities associated with each sententences as opposed to the IOB format of the original files.
- README.md +80 -0
- adg_dev.jsonl +0 -0
- adg_test.jsonl +0 -0
- adg_train.jsonl +0 -0
- fic_dev.jsonl +0 -0
- fic_test.jsonl +0 -0
- fic_train.jsonl +0 -0
- wn_dev.jsonl +0 -0
- wn_test.jsonl +0 -0
- wn_train.jsonl +0 -0
README.md
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---
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language:
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- it
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language_details: it-IT
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license: cc-by-nc-sa-4.0
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task_categories:
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- text-classification
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task_ids:
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- named-entity-recognition
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: adg
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data_files:
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- split: train
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path: "adg_train.jsonl"
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- split: dev
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path: "adg_dev.jsonl"
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- split: test
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path: "adg_test.jsonl"
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- config_name: fic
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data_files:
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- split: train
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path: "fic_train.jsonl"
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- split: dev
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path: "fic_dev.jsonl"
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- split: test
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path: "fic_test.jsonl"
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- config_name: wn
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data_files:
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- split: train
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path: "wn_train.jsonl"
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- split: dev
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path: "wn_dev.jsonl"
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- split: test
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path: "wn_test.jsonl"
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---
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# Data for the NERMuD shared task (Evalita 2023)
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This data is the one used for the [NERMuD shared task](https://nermud.fbk.eu/) organized
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at [Evalita 2023](https://www.evalita.it/campaigns/evalita-2023/).
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The dataset contains the Wikinews, fiction, and De Gasperi subsets of [KIND](https://github.com/dhfbk/KIND), where test data is used for development.
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## Content of the dataset
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| Split | Sentences |
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|:----------------------------|-------------:|
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| wn_train | 10,912 |
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| wn_dev | 2,594 |
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| wn_test | 2,088 |
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| fic_train | 11,423 |
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| fic_dev | 1,051 |
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| fic_test | 1,517 |
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| adg_train | 5,147 |
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| adg_dev | 1,122 |
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| adg_test | 521 |
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| Set | Sentences |
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|:----------------------------|-------------:|
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| Total train | 27,482 |
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| Total dev | 4,767 |
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| Total test | 4,126 |
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| Total | 36,380 |
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## Publications
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```
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@inproceedings{evalita2023nermud,
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title={{NERMuD} at {EVALITA} 2023: Overview of the Named-Entities Recognition on Multi-Domain Documents Task},
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author={Palmero Aprosio, Alessio and Paccosi, Teresa},
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booktitle={Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023)},
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publisher = {CEUR.org},
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year = {2023},
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month = {September},
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address = {Parma, Italy}
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}
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```
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adg_dev.jsonl
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adg_test.jsonl
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adg_train.jsonl
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fic_dev.jsonl
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fic_test.jsonl
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fic_train.jsonl
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wn_dev.jsonl
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wn_test.jsonl
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wn_train.jsonl
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