dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: labels
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 275433385
num_examples: 10006
- name: validation
num_bytes: 34474382
num_examples: 1231
- name: test
num_bytes: 32735387
num_examples: 1215
download_size: 126382724
dataset_size: 342643154
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: other
source_datasets: []
evidence-inference
Evidence Inference v2: full article + intervention/comparator/outcome → effect direction.
Join annotations by PromptID AND PMCID, never by article alone. Use verified labels, exclude tied votes and upstream known-bad prompts. Evidence spans in metadata refer only to the same prompt and winning label. Full article text stays in the input so isolated snippets need not identify treatment arms. Native article train/validation/test splits are preserved. The upstream code and annotations have MIT terms; article-text rights vary and are not relabeled MIT. Mirror text/data licensing remains unspecified.
Original data: original distribution. Repackaged as parquet for tasksource by scripts/repackage_dataset/specialized_text.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.