metadata
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: labels
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 5977000
num_examples: 11412
- name: validation
num_bytes: 782465
num_examples: 1489
- name: test
num_bytes: 743401
num_examples: 1417
download_size: 1930694
dataset_size: 7502866
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: mit
source_datasets: []
sentfin
SEntFiN entity sentiment, one native headline/entity judgment per row.
Pinned original CSV: https://github.com/pyRis/SEntFiN (repository MIT license). Only malformed dictionary quoting is repaired; the original annotation string and source row ID remain in metadata. Identical normalized headlines stay in one deterministic 80/10/10 internal partition. These are derived holdouts, not an official benchmark split. Duplicate pairs are deduplicated; contradictory judgments for the same headline/entity are excluded and reported.
Original data: original distribution. Repackaged as parquet for tasksource by scripts/repackage_dataset/relevance.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.