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