Datasets:

lattice-nlp
/

GOLEMcoref-PER

file_name stringlengths 7 91	language stringclasses 7 values	text stringlengths 1.13k 96.7k	tokens_count int64 276 22.6k	mentions listlengths 13 2.94k	sentence_spans listlengths 6 1.93k	tokens listlengths 276 22.6k
2_Someone_Cant_Take_A_Hint	en	"Someone Can't Take A Hint Clark is ecstatic. Finally. It took years and years of pining and angst a(...TRUNCATED)	1,636	[{"COREF":0,"start_token":5,"end_token":5,"head_token":5,"type":"PER","mention_text":"Clark","onset"(...TRUNCATED)	[[0,45],[45,54],[54,170],[170,256],[256,270],[270,405],[405,451],[451,464],[464,615],[615,659],[659,(...TRUNCATED)	[{"form":"Someone","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":7},{"form":"Can't(...TRUNCATED)
3_Three_Times_Damian_Tried	en	"Three Times Damian Tried To Steal Jason And One Time Dick Made Sure He Couldn't One Ever since Jaso(...TRUNCATED)	1,359	[{"COREF":0,"start_token":18,"end_token":18,"head_token":18,"type":"PER","mention_text":"Jason","ons(...TRUNCATED)	[[0,200],[200,281],[281,387],[387,578],[578,627],[627,727],[727,831],[831,845],[845,885],[885,1068],(...TRUNCATED)	[{"form":"Three","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":5},{"form":"Times",(...TRUNCATED)
4_When_The_Kettle_Was	en	"When The Kettle Was Boiling \"These were your favorite.\" Daichi held out a thin bouquet of carnati(...TRUNCATED)	11,903	[{"COREF":0,"start_token":8,"end_token":8,"head_token":8,"type":"PER","mention_text":"your","onset":(...TRUNCATED)	[[0,56],[56,129],[129,203],[203,247],[247,390],[390,508],[508,602],[602,686],[686,705],[705,738],[73(...TRUNCATED)	[{"form":"When","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":4},{"form":"The","sp(...TRUNCATED)
5_Cold_Feet	en	"Cold Feet “Prongs.” It was a whisper, but then again, Sirius had never been very good at whispe(...TRUNCATED)	1,440	[{"COREF":0,"start_token":3,"end_token":3,"head_token":3,"type":"PER","mention_text":"Prongs","onset(...TRUNCATED)	[[0,20],[20,101],[101,147],[147,240],[240,312],[312,355],[355,377],[377,412],[412,482],[482,500],[50(...TRUNCATED)	[{"form":"Cold","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":4},{"form":"Feet","s(...TRUNCATED)
6_Skater_Boy	en	"Skater Boy Sirius couldn’t do his homework. What he used to do was go to the local cafe and order(...TRUNCATED)	1,130	[{"COREF":0,"start_token":2,"end_token":2,"head_token":2,"type":"PER","mention_text":"Sirius","onset(...TRUNCATED)	[[0,44],[44,111],[111,213],[213,326],[326,428],[428,483],[483,584],[584,605],[605,735],[735,836],[83(...TRUNCATED)	[{"form":"Skater","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":6},{"form":"Boy","(...TRUNCATED)
8_Repeat	en	"If it were any other day, Tubbo might've just closed the curtains and fallen right back asleep. He (...TRUNCATED)	2,413	[{"COREF":0,"start_token":7,"end_token":7,"head_token":7,"type":"PER","mention_text":"Tubbo","onset"(...TRUNCATED)	[[0,96],[96,261],[261,410],[410,496],[496,663],[663,738],[738,780],[780,1107],[1107,1168],[1168,1284(...TRUNCATED)	[{"form":"If","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":2},{"form":"it","space(...TRUNCATED)
10_Forever	en	"Forever The little kindergartener ran up to Gabriel, breathless with excitement. “Gabe, look what(...TRUNCATED)	2,579	[{"COREF":0,"start_token":1,"end_token":3,"head_token":3,"type":"PER","mention_text":"The little kin(...TRUNCATED)	[[0,81],[81,107],[107,142],[142,233],[233,373],[373,468],[468,477],[477,502],[502,571],[571,587],[58(...TRUNCATED)	[{"form":"Forever","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":7},{"form":"The",(...TRUNCATED)
11_do_not_wake_love	en	"do not wake love He’s had his wings back for a while now, but Castiel finds that he enjoys drivin(...TRUNCATED)	12,314	[{"COREF":0,"start_token":4,"end_token":4,"head_token":4,"type":"PER","mention_text":"He","onset":17(...TRUNCATED)	[[0,100],[100,147],[147,253],[253,371],[371,481],[481,533],[533,625],[625,653],[653,736],[736,884],[(...TRUNCATED)	[{"form":"do","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":2},{"form":"not","spac(...TRUNCATED)
12_The_Chaperone	en	"Chapter 1 Steven Grant Rogers, better known as Captain America, succumbed to injuries sustained whi(...TRUNCATED)	22,591	[{"COREF":0,"start_token":2,"end_token":4,"head_token":2,"type":"PER","mention_text":"Steven Grant R(...TRUNCATED)	[[0,119],[119,290],[290,358],[358,379],[379,416],[416,499],[499,640],[640,720],[720,799],[799,862],[(...TRUNCATED)	[{"form":"Chapter","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":7},{"form":"1","s(...TRUNCATED)
13_Snapshot	en	"Snapshot “Iwa-chan, say cheese!” The pictures weren’t annoying in the beginning. After seeing(...TRUNCATED)	3,738	[{"COREF":0,"start_token":2,"end_token":2,"head_token":2,"type":"PER","mention_text":"Iwa-chan","ons(...TRUNCATED)	[[0,33],[33,81],[81,194],[194,320],[320,489],[489,508],[508,575],[575,674],[674,815],[815,999],[999,(...TRUNCATED)	[{"form":"Snapshot","space_after":true,"sentence_ID":0,"char_onset":0,"char_offset":8},{"form":"“"(...TRUNCATED)

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GOLEMcoref-PER

Dataset Summary

This repository provides a standardized and reformatted version of the original GOLEMcoref-PER 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. It only restructures the original dataset into a shared schema used across our benchmarking framework. Split Antecedents are ignored.

Original Dataset

This formatted version is derived from the dataset introduced in:

Andreas Van Cranenburgh ; et al. 2026. GOLEMcoref: A Multilingual Coreference Dataset of Fiction.

Original Repository

https://github.com/GOLEM-lab/GOLEMcoref

Citation

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

@inproceedings{van-cranenburgh-etal-2026-golemcoref,
    title = "{GOLEM}coref: A Multilingual Coreference Dataset of Fiction",
    author = "Van Cranenburgh, Andreas  and
      Yang, Xiaoyan  and
      Alvanita  and
      Di Domenico, Cecilia Nicole  and
      Ferragud, Maria  and
      Graciotti, Arianna  and
      Kim, Byungjun  and
      Park, Seonyeong  and
      Solissa, Noa Visser  and
      Zhou, Xiaoyu  and
      Pianzola, Federico",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.acl-short.39/",
    pages = "472--480",
    ISBN = "979-8-89176-391-3",
}

What is GOLEMcoref?
- It is a gold standard benchmark for coreference resolution in 7 languages: Bahasa Indonesia, Chinese, Dutch, English, Italian, Korean, Spanish (--> data/gold_annotations).
- It contains fictional short stories sourced from 3 popular fanfiction platforms: Archive of Our Own (AO3), Postype, and Wattpad.
- It is the first of its kind offering multilingual coverage for fictional literature.
- It includes complete works.
- It is a gold standard: it is fully annotated and curated by humanas following specialised guidelines (--> guidelines) and accompanied by a report discussing annotation challenges (--> report).