WEC-Eng / README.md
Alon Eirew
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WEC-Eng

A large-scale dataset for cross-document event coreference extracted from English Wikipedia.

Languages

English

Load Dataset

You can read in WEC-Eng files as follows (using the huggingface_hub library):

from huggingface_hub import hf_hub_url, cached_download
import json
REPO_ID = "datasets/Intel/WEC-Eng"
splits_files = ["Dev_Event_gold_mentions_validated.json",
                "Test_Event_gold_mentions_validated.json",
                "Train_Event_gold_mentions.json"]
wec_eng = list()
for split_file in splits_files:
    wec_eng.append(json.load(open(cached_download(
        hf_hub_url(REPO_ID, split_file)), "r")))

Dataset Structure

Data Splits

  • Final version of the English CD event coreference dataset
    • Train - Train_Event_gold_mentions.json
    • Dev - Dev_Event_gold_mentions_validated.json
    • Test - Test_Event_gold_mentions_validated.json
Train Valid Test
Clusters 7,042 233 322
Event Mentions 40,529 1250 1,893
  • The non (within clusters) controlled version of the dataset (lexical diversity)
    • All (experimental) - All_Event_gold_mentions_unfiltered.json

Data Instances

{
        "coref_chain": 2293469,
        "coref_link": "Family Values Tour 1998",
        "doc_id": "House of Pain",
        "mention_context": [
            "From",
            "then",
            "on",
            ",",
            "the",
            "members",
            "continued",
            "their"
  ],
  "mention_head": "Tour",
  "mention_head_lemma": "Tour",
  "mention_head_pos": "PROPN",
  "mention_id": "108172",
  "mention_index": 1,
  "mention_ner": "UNK",
  "mention_type": 8,
  "predicted_coref_chain": null,
  "sent_id": 2,
  "tokens_number": [
    50,
    51,
    52,
    53
  ],
  "tokens_str": "Family Values Tour 1998",
  "topic_id": -1
}

Data Fields

Field Value Type Value
coref_chain Numeric Coreference chain/cluster ID
coref_link String Coreference link wikipeida page/article title
doc_id String Mention page/article title
mention_context List[String] Tokenized mention paragraph (including mention)
mention_head String Mention span head token
mention_head_lemma String Mention span head token lemma
mention_head_pos String Mention span head token POS
mention_id String Mention id
mention_index Numeric Mention index in json file
mention_ner String Mention NER
tokens_number List[Numeric] Mentions tokens ids within the context
tokens_str String Mention span text
topic_id Ignore Ignore
mention_type Ignore Ignore
predicted_coref_chain Ignore Ignore
sent_id Ignore Ignore

License

We provide the following data sets under a Creative Commons Attribution-ShareAlike 3.0 Unported License. It is based on content extracted from Wikipedia that is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License