| # `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`) |
|
|
| ```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 |
|
|
