Datasets:
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3d1bae9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | # 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.
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