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Current 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 ADDED
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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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+
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+ # Data for the NERMuD shared task (Evalita 2023)
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+
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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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+
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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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+
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+ ## Content of the dataset
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+
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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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+
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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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+
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+
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+ ## Publications
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+
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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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