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219
350
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119
1023_bleak_house
en
CHAPTER I In Chancery London . Michaelmas term lately over , and the Lord Chancellor sitting in Lincoln 's Inn Hall . Implacable November weather . As much mud in the streets as if the waters had but newly retired from the face of the earth , and it would not be wonderful to meet a Megalosaurus , forty feet long or so ...
2,319
[ { "onset": 13, "offset": 21, "COREF": "Chancery-0", "type": "FAC", "coref_type": "true_coref", "POS": "PROP" }, { "onset": 22, "offset": 28, "COREF": "London-1", "type": "GPE", "coref_type": "true_coref", "POS": "PROP" }, { "onset": 69, "offset": 84, ...
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1155_the_secret_adversary
en
PROLOGUE IT was 2 p.m. on the afternoon of May 7 , 1915 . The _ Lusitania _ had been struck by two torpedoes in succession and was sinking rapidly , while the boats were being launched with all possible speed . The women and children were being lined up awaiting their turn . Some still clung desperately to husbands and...
2,130
[ { "onset": 58, "offset": 75, "COREF": "The___Lusitania__-0", "type": "VEH", "coref_type": "true_coref", "POS": "PROP" }, { "onset": 155, "offset": 164, "COREF": "the_boats-1", "type": "VEH", "coref_type": "true_coref", "POS": "NOM" }, { "onset": 211, "...
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16357_mary_a_fiction
en
CHAP . I. Mary , the heroine of this fiction , was the daughter of Edward , who married Eliza , a gentle , fashionable girl , with a kind of indolence in her temper , which might be termed negative good-nature : her virtues , indeed , were all of that stamp . She carefully attended to the _ shews _ of things , and her ...
2,077
[ { "onset": 10, "offset": 14, "COREF": "Mary-0", "type": "PER", "coref_type": "true_coref", "POS": "PROP" }, { "onset": 17, "offset": 44, "COREF": "Mary-0", "type": "PER", "coref_type": "APPOS", "POS": "NOM" }, { "onset": 51, "offset": 93, "COREF": ...
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1661_the_adventures_of_sherlock_holmes
en
ADVENTURE I . A SCANDAL IN BOHEMIA I. To Sherlock Holmes she is always THE woman . I have seldom heard him mention her under any other name . In his eyes she eclipses and predominates the whole of her sex . It was not that he felt any emotion akin to love for Irene Adler . All emotions , and that one particularly , wer...
2,123
[ { "onset": 27, "offset": 34, "COREF": "BOHEMIA-0", "type": "GPE", "coref_type": "true_coref", "POS": "PROP" }, { "onset": 41, "offset": 56, "COREF": "Sherlock_Holmes-1", "type": "PER", "coref_type": "true_coref", "POS": "PROP" }, { "onset": 57, "offset...
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238_dear_enemy
en
"STONE GATE , WORCESTER , MASSACHUSETTS , December 27 .\nDear Judy : Your letter is here .\nI have r(...TRUNCATED)
2,047
[{"onset":13,"offset":22,"COREF":"WORCESTER-0","type":"GPE","coref_type":"true_coref","POS":"PROP"},(...TRUNCATED)
[[0,89],[89,133],[133,321],[321,379],[379,527],[527,628],[628,681],[681,748],[748,924],[924,1039],[1(...TRUNCATED)
271_black_beauty
en
"Part I 01 My Early Home The first place that I can well remember was a large pleasant meadow with a(...TRUNCATED)
2,024
[{"onset":10,"offset":12,"COREF":"Black_Beauty-0","type":"PER","coref_type":"true_coref","POS":"PRON(...TRUNCATED)
[[0,128],[128,213],[213,479],[479,557],[557,631],[631,766],[766,888],[888,1018],[1018,1146],[1146,12(...TRUNCATED)
2807_to_have_and_to_hold
en
"CHAPTER I IN WHICH I THROW AMBS-ACE THE work of the day being over , I sat down upon my doorstep , (...TRUNCATED)
2,022
[{"onset":19,"offset":20,"COREF":"Ralph_Percy-0","type":"PER","coref_type":"true_coref","POS":"PRON"(...TRUNCATED)
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6593_history_of_tom_jones_a_foundling
en
"BOOK I. CONTAINING AS MUCH OF THE BIRTH OF THE FOUNDLING AS IS NECESSARY OR PROPER TO ACQUAINT THE (...TRUNCATED)
2,042
[{"onset":43,"offset":56,"COREF":"THE_FOUNDLING-0","type":"PER","coref_type":"true_coref","POS":"NOM(...TRUNCATED)
[[0,158],[158,220],[220,420],[420,758],[758,822],[822,1084],[1084,1546],[1546,1915],[1915,1998],[199(...TRUNCATED)
711_allan_quatermain
en
"CHAPTER I THE CONSUL ’S YARN A week had passed since the funeral of my poor boy Harry , and one e(...TRUNCATED)
2,028
[{"onset":10,"offset":20,"COREF":"THE_CONSUL-0","type":"PER","coref_type":"true_coref","POS":"NOM"},(...TRUNCATED)
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730_oliver_twist
en
"CHAPTER I TREATS OF THE PLACE WHERE OLIVER TWIST WAS BORN AND OF THE CIRCUMSTANCES ATTENDING HIS BI(...TRUNCATED)
2,087
[{"onset":20,"offset":57,"COREF":"workhouse-0","type":"FAC","coref_type":"true_coref","POS":"NOM"},{(...TRUNCATED)
[[0,638],[638,1162],[1162,1470],[1470,1861],[1861,2093],[2093,2327],[2327,2747],[2747,3067],[3067,31(...TRUNCATED)

litbank-en

Dataset Summary

This repository provides a standardized and reformatted version of the original litbank-en coreference resolution dataset.

The purpose of this formatting is to provide a unified document structure across multiple coreference datasets in order to simplify:

  • cross-dataset comparison,
  • multilingual experimentation,
  • benchmarking of coreference resolution systems,
  • interoperability between NLP pipelines,
  • and reproducible evaluation settings.

This repository does not introduce new annotations or modify the original coreference annotations. It only restructures the original dataset into a shared schema used across our benchmarking framework.


Original Dataset

This formatted version is derived from the dataset introduced in:

David Bamman, Sejal Popat, and Sheng Shen. 2019. An annotated dataset of literary entities.

Original Repository

https://github.com/dbamman/litbank

Citation

If you use this dataset, please cite the original work:

@inproceedings{bamman-etal-2019-annotated,
    title = "An annotated dataset of literary entities",
    author = "Bamman, David  and
      Popat, Sejal  and
      Shen, Sheng",
    editor = "Burstein, Jill  and
      Doran, Christy  and
      Solorio, Thamar",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-1220/",
    doi = "10.18653/v1/N19-1220",
    pages = "2138--2144",
}

Statistics

Statistic Value
Language en
Documents 100
Sentences 6,726
Tokens 213,472
Characters 1,025,979
Mentions 29,103
Entities 7,235

Dataset Structure

Each document contains:

  • file_name
  • language
  • text
  • stanza_tokens
  • mentions
  • sentence_spans

Mentions

Each mention contains the following fields and additional fields per-dataset:

  • onset
  • offset
  • COREF

Example

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