|
--- |
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annotations_creators: [] |
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language: |
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- en |
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language_creators: |
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- found |
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license: |
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- mit |
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multilinguality: |
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- monolingual |
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paperswithcode_id: acronym-identification |
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pretty_name: acl-anthology-corpus |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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tags: |
|
- research papers |
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- acl |
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task_categories: |
|
- token-classification |
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task_ids: [] |
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train-eval-index: |
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- col_mapping: |
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labels: tags |
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tokens: tokens |
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config: default |
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splits: |
|
eval_split: test |
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task: token-classification |
|
task_id: entity_extraction |
|
--- |
|
|
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# Dataset Card for ACL Anthology Corpus |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Dataset Creation](#dataset-creation) |
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- [Source Data](#source-data) |
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- [Additional Information](#additional-information) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Repository:** https://github.com/shauryr/ACL-anthology-corpus |
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- **Point of Contact:** [email protected] |
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### Dataset Summary |
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Dataframe with extracted metadata (table below with details) and full text of the collection for analysis : **size 489M** |
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### Languages |
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en, zh and others (TODO: find the languages in ACL) |
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|
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## Dataset Structure |
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Dataframe |
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### Data Instances |
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Each row is a paper from ACL anthology |
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### Data Fields |
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| **Column name** | **Description** | |
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| :---------------: | :---------------------------: | |
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| `acl_id` | unique ACL id | |
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| `abstract` | abstract extracted by GROBID | |
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| `full_text` | full text extracted by GROBID | |
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| `corpus_paper_id` | Semantic Scholar ID | |
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| `pdf_hash` | sha1 hash of the pdf | |
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| `numcitedby` | number of citations from S2 | |
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| `url` | link of publication | |
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| `publisher` | - | |
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| `address` | Address of conference | |
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| `year` | - | |
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| `month` | - | |
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| `booktitle` | - | |
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| `author` | list of authors | |
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| `title` | title of paper | |
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| `pages` | - | |
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| `doi` | - | |
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| `number` | - | |
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| `volume` | - | |
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| `journal` | - | |
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| `editor` | - | |
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| `isbn` | - | |
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## Dataset Creation |
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The corpus has all the paper in ACL anthology - as of September'22 |
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### Source Data |
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- [ACL Anthology](aclanthology.org) |
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- [Semantic Scholar](semanticscholar.org) |
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# Additional Information |
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### Licensing Information |
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ACL anthology corpus is released under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). By using this corpus, you are agreeing to its usage terms. |
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### Citation Information |
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If you use this corpus in your research please use the following BibTeX entry: |
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@Misc{acl_anthology_corpus, |
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author = {Shaurya Rohatgi}, |
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title = {ACL Anthology Corpus with Full Text}, |
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howpublished = {Github}, |
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year = {2022}, |
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url = {https://github.com/shauryr/ACL-anthology-corpus} |
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} |
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### Acknowledgements |
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We thank Semantic Scholar for providing access to the citation related data in this corpus. |
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### Contributions |
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Thanks to [@shauryr](https://github.com/shauryr) and [Yanxia Qin](https://github.com/qolina) for adding this dataset. |
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