Datasets:
| # Split protocol | |
| Train, validation, and test partitions use 60%, 10%, and 30% of unique paragraph | |
| groups, respectively. The deposited assignment CSVs are the authoritative allocation | |
| and remove any dependence on library-specific random shuffling. | |
| All rows sharing a `Paragraph_ID` stay together. Since every `Tuple_ID` belongs to a | |
| single paragraph, this also keeps every P1–P5 tuple family together and prevents | |
| tuple-family leakage. Reddit extraction additionally groups by `Document_ID` where | |
| that identifier is available. `src/validation/validate_splits.py` checks these | |
| invariants across all released partitions. | |
| `src/preprocessing/materialize_probe_splits.py` rebuilds probe partitions directly | |
| from a canonical probe table and the deposited assignments. Example: | |
| ```bash | |
| python src/preprocessing/materialize_probe_splits.py \ | |
| --probes data/probes/pubmed_probes.csv \ | |
| --assignments data/splits/probes/pubmed/split_assignments.csv \ | |
| --output-dir /tmp/pubmed_splits | |
| ``` | |
| Synthetic assignments are in | |
| `data/splits/probes/synthetic/exp3_2_probe_split_assignments.csv`; PubMed and Reddit | |
| use `split_assignments.csv` in their domain directories. | |