raw-data
Datasets
All datasets matching “raw-data”2026-challenge-rawdata2025-challenge-rawdataknowref_60k_raw
The Knowref 60K Dataset
Project: https://github.com/aemami1/KnowRef60k
Data source: https://github.com/aemami1/KnowRef60k/tree/28e5385d17967744ccb3bdba45fdd89d9690307d
Fields
annotation_strength (str): annotator agreement from 1-5
candidate_0 (str): the first candidate name
candidate_1 (str): the second candidate name
original_sentence (str): sentence before swapping the names
swapped_sentence (str): sentence after swapping the names with square brackets marking the… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/knowref_60k_raw.gap_raw
Dataset Card for "gap"
Dataset Summary
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of
(ambiguous pronoun, antecedent name), sampled from Wikipedia and released by
Google AI Language for the evaluation of coreference resolution in practical
applications.
Dataset Structure
Data Instances
default
Size of downloaded dataset files: 2.40 MB
Size of the generated dataset: 2.43 MB
Total amount of disk used: 4.83 MB… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/gap_raw.gen_winograd_raw
gen_winograd
Project: https://ufal.mff.cuni.cz/corefud
Data source: https://github.com/mbzuai-nlp/gen-X/tree/bf1c0adb4b4def03cdf419c18b2948695bc1fab8
Details
English Winograd generated by GPT-4
Citation
@misc{whitehouse2023llmpowered,
title={LLM-powered Data Augmentation for Enhanced Crosslingual Performance},
author={Chenxi Whitehouse and Monojit Choudhury and Alham Fikri Aji},
year={2023},
eprint={2305.14288}… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/gen_winograd_raw.dpr_raw
"definite_pronoun_resolution" (dpr)
Dataset Summary
Composed by 30 students from one of the author's undergraduate classes. These
sentence pairs cover topics ranging from real events (e.g., Iran's plan to
attack the Saudi ambassador to the U.S.) to events/characters in movies (e.g.,
Batman) and purely imaginary situations, largely reflecting the pop culture as
perceived by the American kids born in the early 90s. Each annotated example
spans four lines: the first line… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/dpr_raw.