First version of the acl-anthology-corpus dataset.

README.md

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+Dataframe with extracted metadata (table below with details) and full text of the collection for analysis : **size 489M**
+| **Column name** | **Description** |
+| :---------------: | :---------------------------: |
+| `acl_id` | unique ACL id |
+| `abstract` | abstract extracted by GROBID |
+| `full_text` | full text extracted by GROBID |
+| `corpus_paper_id` | Semantic Scholar ID |
+| `pdf_hash` | sha1 hash of the pdf |
+| `numcitedby` | number of citations from S2 |
+| `url` | link of publication |
+| `publisher` | - |
+| `address` | Address of conference |
+| `year` | - |
+| `month` | - |
+| `booktitle` | - |
+| `author` | list of authors |
+| `title` | title of paper |
+| `pages` | - |
+| `doi` | - |
+| `number` | - |
+| `volume` | - |
+| `journal` | - |
+| `editor` | - |
+| `isbn` | - |
+
+```python
+>>> import pandas as pd
+>>> df = pd.read_parquet('acl-publication-info.74k.parquet')
+>>> df
+         acl_id                                           abstract                                          full_text  corpus_paper_id                                  pdf_hash  ...  number volume journal editor  isbn
+0      O02-2002  There is a need to measure word similarity whe...  There is a need to measure word similarity whe...         18022704  0b09178ac8d17a92f16140365363d8df88c757d0  ...    None   None    None   None  None
+1      L02-1310                                                                                                                8220988  8d5e31610bc82c2abc86bc20ceba684c97e66024  ...    None   None    None   None  None
+2      R13-1042  Thread disentanglement is the task of separati...  Thread disentanglement is the task of separati...         16703040  3eb736b17a5acb583b9a9bd99837427753632cdb  ...    None   None    None   None  None
+3      W05-0819  In this paper, we describe a word alignment al...  In this paper, we describe a word alignment al...          1215281  b20450f67116e59d1348fc472cfc09f96e348f55  ...    None   None    None   None  None
+4      L02-1309                                                                                                               18078432  011e943b64a78dadc3440674419821ee080f0de3  ...    None   None    None   None  None
+...         ...                                                ...                                                ...              ...                                       ...  ...     ...    ...     ...    ...   ...
+73280  P99-1002  This paper describes recent progress and the a...  This paper describes recent progress and the a...           715160  ab17a01f142124744c6ae425f8a23011366ec3ee  ...    None   None    None   None  None
+73281  P00-1009  We present an LFG-DOP parser which uses fragme...  We present an LFG-DOP parser which uses fragme...          1356246  ad005b3fd0c867667118482227e31d9378229751  ...    None   None    None   None  None
+73282  P99-1056  The processes through which readers evoke ment...  The processes through which readers evoke ment...          7277828  924cf7a4836ebfc20ee094c30e61b949be049fb6  ...    None   None    None   None  None
+73283  P99-1051  This paper examines the extent to which verb d...  This paper examines the extent to which verb d...          1829043  6b1f6f28ee36de69e8afac39461ee1158cd4d49a  ...    None   None    None   None  None
+73284  P00-1013  Spoken dialogue managers have benefited from u...  Spoken dialogue managers have benefited from u...         10903652  483c818c09e39d9da47103fbf2da8aaa7acacf01  ...    None   None    None   None  None
+
+[73285 rows x 21 columns]
+```
+
+We are hoping that this corpus can be helpful for analysis relevant to the ACL community.
+
+**Please cite/star 🌟 this page if you use this corpus**
+
+## Citing the ACL Anthology Corpus
+
+If you use this corpus in your research please use the following BibTeX entry:
+
+    @Misc{acl_anthology_corpus,
+        author =       {Shaurya Rohatgi},
+        title =        {ACL Anthology Corpus with Full Text},
+        howpublished = {Github},
+        year =         {2022},
+        url =          {https://github.com/shauryr/ACL-anthology-corpus}
+    }
+
+    ## Acknowledgements
+
+We thank Semantic Scholar for providing access to the citation related data in this corpus.
+
+## License
+
+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.

acl-publication-info.74k.parquet

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