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15.8k
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899
Ahlefeld,-Charlotte-von__Erna
de
Sehr bald indessen riß ihn die Ankunft des glücklichen Gemahls aus dem ungewissen Grübeln, wer es wohl seyn könne, denn nachdem man den raschen Galop eines Pferdes vernommen, trat – Herr von Linovsky ins Haus. Aengstlich und athemlos, das bemerkte Alexander durch die offenstehende Thür des Nebenzimmers, eilte er auf Er...
6,236
[ { "onset": 23, "offset": 26, "COREF": "Alexander", "type": "PER", "ID": "794", "CoreNamedEntity": "false", "Numerus": "si", "NEType": "pron", "Pseudo": null, "Uncertain": null, "Gender": null }, { "onset": 55, "offset": 62, "COREF": "Linovsky", "type":...
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Ahlefeld,-Charlotte-von__Marie Müller
de
"Als sie in ihre Kammer trat, warf sie sich mit den Kleidern aufs Bett und ließ ihre wunden Augen w(...TRUNCATED)
3,891
[{"onset":4,"offset":7,"COREF":"Marie","type":"PER","ID":"6","CoreNamedEntity":"false","Numerus":"si(...TRUNCATED)
[[0,127],[127,377],[377,643],[643,892],[892,1116],[1116,1245],[1245,1489],[1489,1528],[1528,1624],[1(...TRUNCATED)
Alexis,-Willibald__Die Hosen des Herrn von Bredow
de
"Der späte Gast.\n\nDie Hunde klafften und der Thürmer stieß ins Horn. Ein einzelner Reiter hielt(...TRUNCATED)
2,896
[{"onset":10,"offset":14,"COREF":"Reiter","type":"PER","ID":"16","CoreNamedEntity":null,"Numerus":"s(...TRUNCATED)
[[0,17],[17,68],[68,114],[114,341],[341,425],[425,493],[493,725],[725,935],[935,1006],[1006,1178],[1(...TRUNCATED)
Anonym__Schwester Monika
de
"Acht Tage nach dieser Szene war die Hochzeit meiner Mutter und die von Franziska.\nIch blieb die ei(...TRUNCATED)
5,816
[{"onset":45,"offset":51,"COREF":"Malchen(als_Linchen)","type":"PER","ID":"2","CoreNamedEntity":"fal(...TRUNCATED)
[[0,82],[82,331],[331,653],[653,712],[712,847],[847,926],[926,1064],[1064,1230],[1230,1397],[1397,15(...TRUNCATED)
Argens,-Jean-Baptiste-Boyer,-Marquis-d'__Die philosophische Therese
de
"Nach dieser Erzählung, über die wir recht herzlich lachten, fuhr die Bois-Laurier folgendermaßen(...TRUNCATED)
3,581
[{"onset":32,"offset":35,"COREF":"Bois-Laurier+Therese","type":"PER","ID":"672","CoreNamedEntity":"f(...TRUNCATED)
[[0,254],[254,337],[337,576],[576,708],[708,929],[929,1032],[1032,1084],[1084,1197],[1197,1319],[131(...TRUNCATED)
Arnim,-Bettina-von__Clemens Brentanos Frühlingskranz
de
"An Clemens\n\nEs geht schlecht mit meinem Witz, Dein Brief ist wie der Blitz in mich eingeschlagen,(...TRUNCATED)
4,071
[{"onset":3,"offset":10,"COREF":"Clemens","type":"PER","ID":"16","CoreNamedEntity":"true","Numerus":(...TRUNCATED)
[[0,12],[12,181],[181,215],[215,429],[429,516],[516,857],[857,1121],[1121,1287],[1287,1428],[1428,15(...TRUNCATED)
Arnim,-Bettina-von__Die Günderode
de
"An die Günderode\n\nSchon zehn Tage bist Du fort, alle Tag kommt der Jud mit dem leeren Sack, ich (...TRUNCATED)
10,714
[{"onset":7,"offset":16,"COREF":"Günderode","type":"PER","ID":"663","CoreNamedEntity":"true","Numer(...TRUNCATED)
[[0,18],[18,424],[424,673],[673,675],[675,1200],[1200,1312],[1312,2145],[2145,3122],[3122,3228],[322(...TRUNCATED)
Arnim,-Ludwig-Achim-von__Erster Band
de
"Der Morgen war ein seliges Erwachen für den guten Berthold, die Mutter hatte es ihm schon im Schla(...TRUNCATED)
5,486
[{"onset":50,"offset":58,"COREF":"'fremder_Ritter'","type":"PER","ID":"2","CoreNamedEntity":"true","(...TRUNCATED)
[[0,176],[176,440],[440,571],[571,936],[936,1090],[1090,1291],[1291,1455],[1455,1622],[1622,1887],[1(...TRUNCATED)
Arnim,-Ludwig-Achim-von__Isabella von Ägypten
de
"Braka, die alte Zigeunerin im zerlumpten roten Mantel, hatte kaum ihr drittes Vaterunser vor dem Fe(...TRUNCATED)
11,292
[{"onset":0,"offset":5,"COREF":"Alte","type":"PER","ID":"203","CoreNamedEntity":"true","Numerus":"si(...TRUNCATED)
[[0,481],[481,713],[713,1521],[1521,1565],[1565,1584],[1584,1606],[1606,1910],[1910,2014],[2014,2244(...TRUNCATED)
Arnim-Bettina-von__Goethes-Briefwechsel-mit-einem-Kinde
de
"An Goethe\n\n\n13\n\n\n\n\n22. März 1832\n\n\nHier aus den Bergesschluchten hervor wag ich's und k(...TRUNCATED)
3,890
[{"onset":3,"offset":9,"COREF":"Goethe","type":"PER","ID":"201","CoreNamedEntity":"true","Numerus":"(...TRUNCATED)
[[0,12],[12,19],[19,23],[23,35],[35,152],[152,508],[508,531],[531,817],[817,975],[975,1240],[1240,14(...TRUNCATED)
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DROC

Dataset Summary

This repository provides a standardized and reformatted version of the original DROC 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:

Markus Krug, Lukas Weimer, Isabella Reger, Luisa Macharowsky, Stephan Feldhaus, Frank Puppe, and Fotis Jannidis. 2017. Description of a Corpus of Character References in German Novels - DROC [Deutsches ROman Corpus].

Original Repository

https://gitlab.informatik.uni-wuerzburg.de/kallimachos/DROC-Release/-/tree/master?ref_type=heads

Citation

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

@misc{Krug_et_al_2017_DROC,
    author = {Markus Krug and Lukas Weimer and Isabella Reger and Luisa Macharowsky and Stephan Feldhaus and Frank Puppe and Fotis Jannidis},
    title = {Description of a Corpus of Character References in German Novels -- DROC [Deutsches ROman Corpus]},
    year = {2017},
    publisher = {DARIAH-DE},
    series = {DARIAH-DE Working Papers},
    number = {27},
    address = {Göttingen},
    url = {https://publications.goettingen-research-online.de/bitstream/2/108301/1/dwp-2018-27.pdf},
}

Statistics

Statistic Value
Language de
Documents 90
Sentences 16,893
Tokens 393,796
Characters 2,065,255
Mentions 52,080
Entities 5,288

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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