Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Sub-tasks:
word-sense-disambiguation
Languages:
English
Size:
1K - 10K
ArXiv:
License:
| annotations_creators: | |
| - human-generated | |
| language: | |
| - en | |
| license: | |
| - cc-by-nc-sa-4.0 | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - token-classification | |
| task_ids: | |
| - word-sense-disambiguation | |
| pretty_name: word-sense-linking-dataset | |
| tags: | |
| - word-sense-linking | |
| - word-sense-disambiguation | |
| - lexical-semantics | |
| size_categories: | |
| - 10K<n<100K | |
| extra_gated_fields: | |
| Email: text | |
| Company: text | |
| Country: country | |
| I want to use this dataset for: | |
| type: select | |
| options: | |
| - Research | |
| - Education | |
| - label: Other | |
| value: other | |
| I agree to use this dataset for non-commercial use ONLY: checkbox | |
| extra_gated_heading: "Acknowledge our Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) (https://raw.githubusercontent.com/Babelscape/WSL/main/wsl_data_license.txt) to access the repository" | |
| extra_gated_description: "Our team may take 2-3 days to process your request" | |
| extra_gated_button_content: "Acknowledge license" | |
| --- | |
| ## Table of Contents | |
| - [Description](#description) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Additional Information](#additional-information) | |
| ## Word Sense Linking Dataset | |
| [](https://2024.aclweb.org/) | |
| [](https://aclanthology.org/2024.findings-acl.851/) | |
| [](https://huggingface.co/collections/Babelscape/word-sense-linking-66ace2182bc45680964cefcb) | |
| [](https://github.com/Babelscape/WSL) | |
| ## Dataset Description | |
| - **Summary:** The dataset is designed for the task of Word Sense Linking (WSL), where systems are required to identify and disambiguate spans of text to their most suitable senses from a reference inventory. The annotations are provided as sense keys from WordNet, a large lexical database of English. | |
| - **Authors:** Andrei Stefan Bejgu, Edoardo Barba, Luigi Procopio, Alberte Fernández-Castro, Roberto Navigli | |
| - **Repository:** [https://github.com/Babelscape/WSL](https://github.com/Babelscape/WSL) | |
| - **Paper:** [Word Sense Linking: Disambiguating Outside the Sandbox](https://2024.aclweb.org/program/finding_papers/) | |
| - **Point of Contact:** [email protected] | |
| ## Description | |
| The dataset is designed for the task of Word Sense Linking (WSL), where systems are required to identify and disambiguate spans of text to their most suitable senses from a reference inventory. The annotations are provided as sense keys from WordNet, a large lexical database of English. All terms in the dataset have been fully manually annotated. | |
| The dataset sentences are taken from the ALL split of the Raganato framework for Word Sense Disambiguation evaluation, described in the paper [Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison](https://aclanthology.org/E17-1010) by Alessandro Raganato, Jose Camacho-Collados, and Roberto Navigli. | |
| - **Repository:** [https://github.com/Babelscape/WSL](https://github.com/Babelscape/WSL) | |
| - **Paper:** [Word Sense Linking: Disambiguating Outside the Sandbox](https://aclanthology.org/2024.findings-acl.851/) | |
| - **Arxiv Paper:** [Word Sense Linking: Disambiguating Outside the Sandbox](https://arxiv.org/abs/2412.09370) | |
| - **Point of Contact:** [email protected] | |
| ## Dataset Structure | |
| The data fields are the same among all splits. | |
| - `text`: a `string` feature containing the input text. | |
| - `tokens`: a `list` of `dict` features with the following keys: | |
| - `raw`: the raw token (`str`). | |
| - `lemma`: the lemma of the token (`str`). | |
| - `pos`: the part of speech tag (`str`). | |
| - `offset`: a `list` of `int` indicating the character offsets in the input text. | |
| - `annotations`: a `list` of `dict` features with the following keys: | |
| - `raw`: the raw token (`str`). | |
| - `lemma`: the lemma of the token (`str`). | |
| - `pos`: the part of speech tag (`str`). | |
| - `labels`: a `list` of `str` representing the sense labels as WordNet sense keys. | |
| - `source`: the source of the annotation (`str`). | |
| - `token_off`: a `list` of `int` indicating the token offsets. | |
| - `offset`: a `list` of `int` indicating the character offsets in the input text. | |
| - `sentence_id`: a `string` feature representing the unique identifier for the sentence. | |
| Here is an example: | |
| ```json | |
| { | |
| "text": "Skilled ringers use their wrists to advance or retard the next swing.", | |
| "tokens": [ | |
| {"raw": "Skilled", "lemma": "skilled", "pos": "ADJ", "offset": [0, 7]}, | |
| {"raw": "ringers", "lemma": "ringer", "pos": "NOUN", "offset": [8, 15]}, | |
| {"raw": "use", "lemma": "use", "pos": "VERB", "offset": [16, 19]} | |
| ], | |
| "annotations": [ | |
| {"raw": "Skilled", "lemma": "skilled", "pos": "ADJ", "labels": ["skilled%3:00:00::"], "source": "OLD", "token_off": [0], "offset": [0, 7]}, | |
| {"raw": "ringers", "lemma": "ringer", "pos": "NOUN", "labels": ["ringer%1:18:02::"], "source": "OLD", "token_off": [1], "offset": [8, 15]}, | |
| {"raw": "use", "lemma": "use", "pos": "VERB", "labels": ["use%2:34:01::"], "source": "OLD", "token_off": [2], "offset": [16, 19]} | |
| ], | |
| "sentence_id": "example.s001" | |
| } | |
| ``` | |
| ## Additional Information | |
| **Licensing Information**: Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://raw.githubusercontent.com/Babelscape/WSL/main/wsl_data_license.txt). Copyright of the dataset contents belongs to Babelscape. | |
| ## Citation Information | |
| ```bibtex | |
| @inproceedings{bejgu-etal-2024-wsl, | |
| title = "Word Sense Linking: Disambiguating Outside the Sandbox", | |
| author = "Bejgu, Andrei Stefan and Barba, Edoardo and Procopio, Luigi and Fern{\'a}ndez-Castro, Alberte and Navigli, Roberto", | |
| booktitle = "Findings of the Association for Computational Linguistics: ACL 2024", | |
| month = aug, | |
| year = "2024", | |
| address = "Bangkok, Thailand", | |
| publisher = "Association for Computational Linguistics", | |
| } | |
| ``` | |