Datasets:
Download split_protocol.md from sanuyah/CondRelBench: direct link, hf CLI and curl.
- Browser
- Download file 1.16 kB
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https://huggingface.co/datasets/sanuyah/CondRelBench/resolve/main/split_protocol.md
- Command line
-
hf download hf://datasets/sanuyah/CondRelBench/split_protocol.md
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curl -L -o split_protocol.md https://huggingface.co/datasets/sanuyah/CondRelBench/resolve/main/split_protocol.md
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:
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.