docs/schema.md

logo-lab/rbench per-config schema reference

row_prediction (mirrored parquet)

Each of the 50 OpenML tables lives under data/row_prediction/openml_<id>/ with three split files (train-*.parquet, validation-*.parquet, test-*.parquet) and a dataset.json sidecar.

Per-row schema

Column	Type	Notes
row_id	int64	original OpenML row index
<col_name>	(table-specific)	one column per OpenML feature and per target, with the OpenML column name preserved verbatim (no feature_/target_ prefix). The dataset.json sidecar lists which columns are features and which are targets. Types are preserved from OpenML.

Per-table sidecar (dataset.json)

{
  "openml_id": 3,
  "name": "kr-vs-kp",
  "openml_url": "https://www.openml.org/d/3",
  "openml_license": "Public Domain",
  "n_rows": 3196,
  "n_features": 36,
  "feature_columns": ["bkblk", "bknwy", ...],
  "target_columns": [
    {"name": "label", "task_type": "classification", "n_classes": 2}
  ],
  "splits": {
    "train_idx": [...],
    "validation_idx": [...],
    "test_idx": [...]
  },
  "trl_bench_curation": {
    "selected_at": "2026-...",
    "label_repairs": [],
    "removed_targets": []
  }
}

The dataset.json is loaded by dataset_info.json-like helpers but is intentionally also a plain .json so users can read it without a special loader.

record_linkage (loading script)

Per-row schema

Column	Type	Notes
pair_id	string	f"{source}/{split}/{idx}"
left_table	string	JSON-encoded record dict (label-equivalent columns already removed)
right_table	string	same
label	ClassLabel({"non_match": 0, "match": 1})	binary match label
source	string	e.g., deepmatcher_beer, wdc_products_xlarge
family	string	deepmatcher_clean / deepmatcher_dirty / wdc_products
split	string	train / validation / test (matches HF SplitGenerator names; the upstream valid.csv file is mapped onto the validation split at load time)

Sub-configs

When loaded with the umbrella record_linkage config, the dataset is the union of all 16 sources (with the source column distinguishing them). Sub-configs record_linkage_<source> return only that source.

Label-equivalent column removal (per paper appendix J)

Applied at load time, deterministic:

• WDC tables: drop cluster_id and identifiers
• Fodors-Zagats: drop class

These removals are baked into the loading script; users always see the label-leakage-free view.

Splits

Pair-disjoint splits inherited from upstream:

• DeepMatcher: 3:1:1 train/valid/test (per source's train.csv/valid.csv/test.csv)
• WDC LSPM v2: pre-split per WDC release