| 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](https://evidence-inference.ebm-nlp.com/v2.0.tar.gz). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/specialized_text.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/specialized_text.py#L90). | |
| [Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions. | |