The CoreSearch Dataset

A large-scale dataset for cross-document event coreference search

Paper: Cross-document Event Coreference Search: Task, Dataset and Modeling (link-TBD)

Languages

English

Load Dataset

You can read/download the dataset files following Huggingface Hub instructions.
For example, below code will load CoreSearch DPR folder:

from huggingface_hub import hf_hub_url, cached_download
import json
REPO_ID = "datasets/Intel/CoreSearch"
DPR_FILES = "/dpr/"

dpr_files = ["dpr/Dev.json", "dpr/Train.json", "dpr/Test.json"]

dpr_jsons = list()
for _file in dpr_files:
    dpr_jsons.append(json.load(open(cached_download(
        hf_hub_url(REPO_ID, _file)), "r")))

Data Splits

Final version of the CD event coreference search dataset
| | Train | Valid | Test | Total |

| ----- | ------ | ----- | ---- | ---- | | WEC-Eng Validated Data | | | | | | # Clusters | 237 | 49 | 236 | 522 | | # Passages (with Mentions) | 1,503 | 341 | 1,266 | 3,110 | | # Added Destructor Passages | 922,736 | 923,376 | 923,746 | 2,769,858 | | # Total Passages | 924,239 | 923,717 | 925,012 | 2,772,968 |

Citation

@inproceedings{TBD}

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

Contact

If you have any questions please create a Github issue at https://github.com/AlonEirew/CoreSearch.