Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
coreference-resolution
Languages:
English
Size:
< 1K
License:
"""SciCo""" | |
import os | |
import jsonlines | |
import datasets | |
_CITATION = """\ | |
@inproceedings{ | |
cattan2021scico, | |
title={SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts}, | |
author={Arie Cattan and Sophie Johnson and Daniel S. Weld and Ido Dagan and Iz Beltagy and Doug Downey and Tom Hope}, | |
booktitle={3rd Conference on Automated Knowledge Base Construction}, | |
year={2021}, | |
url={https://openreview.net/forum?id=OFLbgUP04nC} | |
} | |
""" | |
_DESCRIPTION = """\ | |
SciCo is a dataset for hierarchical cross-document coreference resolution | |
over scientific papers in the CS domain. | |
""" | |
_DATA_URL = https://nlp.biu.ac.il/~ariecattan/scico/data.tar | |
class Scico(datasets.GeneratorBasedBuilder): | |
def _info(self): | |
return datasets.DatasetInfo( | |
description=_DESCRIPTION, | |
homepage="https://scico.apps.allenai.org/", | |
citation = _CITATION) | |
def _split_generators(self, dl_manager): | |
data_dir = dl_manager.download_and_extract(_DATA_URL) | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl")} | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, "dev.jsonl")} | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train.jsonl")} | |
), | |
] | |
def _generate_examples(self, filepath): | |
"""This function returns the examples in the raw (text) form.""" | |
with jsonlines.open(filepath, 'r') as f: | |
for topic in f: | |
yield topic | |