| --- |
| dataset_info: |
| features: |
| - name: decision_set_id |
| dtype: string |
| - name: source_id |
| dtype: string |
| - name: source_revision |
| dtype: string |
| - name: source_config |
| dtype: string |
| - name: source_split |
| dtype: string |
| - name: source_row_id |
| dtype: string |
| - name: source_parent_id |
| dtype: string |
| - name: family |
| dtype: string |
| - name: partition_role |
| dtype: string |
| - name: lineage_key |
| dtype: string |
| - name: state_json |
| dtype: string |
| - name: instruction_json |
| dtype: string |
| - name: options_json |
| dtype: string |
| - name: tier_json |
| dtype: string |
| - name: probabilities_json |
| dtype: string |
| - name: candidate_count |
| dtype: int32 |
| - name: label_kind |
| dtype: string |
| - name: source_label_or_null |
| dtype: string |
| - name: instruction_template_id |
| dtype: string |
| - name: option_permutation_seed_or_null |
| dtype: string |
| - name: raw_record_sha256 |
| dtype: string |
| - name: license |
| dtype: string |
| - name: known_pretraining_overlap |
| dtype: string |
| - name: contamination_status |
| dtype: string |
| - name: quarantine_reason_or_null |
| dtype: string |
| - name: candidate_rows |
| list: |
| - name: record_id |
| dtype: string |
| - name: decision_set_id |
| dtype: string |
| - name: choice_id |
| dtype: string |
| - name: candidate_order |
| dtype: int32 |
| - name: normalized_text_sha256 |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 557358155851 |
| num_examples: 8718074 |
| - name: validation |
| num_bytes: 19174532055 |
| num_examples: 323358 |
| - name: test |
| num_bytes: 20525718260 |
| num_examples: 446944 |
| download_size: 25604016056 |
| dataset_size: 597058406166 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| --- |
| |
| <!-- scrm-data:added-sources:begin --> |
| <!-- scrm-base: {"download_size": 14453652151, "test": {"b": 4071114563, "n": 156648}, "train": {"b": 15757338217, "n": 604728}, "validation": {"b": 2778846076, "n": 105716}} --> |
| |
| ## Added sources (SCRM data pipeline) |
| |
| Additional decision sets were appended as new shards `data/{split}-{source_slug}-NNNNN-of-MMMMM.parquet` (the `configs` globs are unchanged and pick them up). Every row uses the schema above; all sources are framed as classification / ranking decision sets: `state_json` + `instruction_json` + candidate set (`options_json`) + best-first `tier_json`. Only pairs `tier_i < tier_j` carry preference signal. |
|
|
| | source slug | upstream | rows (train / validation / test) | label kinds | |
| |---|---|---|---| |
| | `openjev` | `ZefanCai/Open-Jev` @ `c67699e1` | 264,287 / 31,994 / 106,924 | independent_labels_binary_tiers, ordinal_score_distance_tiers, soft_choice_distribution, source_dataset_label | |
| | `samatv` | `samatv256/jev-decisions-v1` @ `c12aadf1` | 5,448,117 / 171,170 / 168,931 | agent_choice_target | |
| | `samatv_clean50k` | `samatv256/jev-decisions-v1` @ `c12aadf1` | 1,491 / 27 / 30 | agent_choice_target | |
| | `tasksource` | `tasksource/tasksource-jev-typed-decisions` @ `8173a06c` | 2,399,451 / 14,451 / 14,411 | independent_labels_binary_tiers, ordinal_score_distance_tiers, soft_choice_distribution, source_dataset_label | |
|
|
| ### Label kinds |
|
|
| | `label_kind` | tiers | `probabilities_json` | `source_label_or_null` | |
| |---|---|---|---| |
| | `source_dataset_label` | `[[winner],[rest]]` | `{}` | `{"kind":"choice","target":[...],"winner":[id]}` | |
| | `soft_choice_distribution` | distinct probability groups, descending | the distribution | `{"kind":"choice_soft","target":[...]}` | |
| | `ordinal_score_distance_tiers` | tier k = levels at ordinal distance k from the true level | raw distribution over levels | `{"kind":"score","levels":[...],"level_choice_ids":[...],"target":[...],"true_level_index":int,"expected_level":float}` | |
| | `independent_labels_binary_tiers` | `[[p>=0.5],[p<0.5]]` (yes/no: candidates `no`,`yes`) | independent probabilities | `{"kind":"noul","target":[...],"threshold":0.5}` | |
| | `agent_choice_target` | `[[target],[rest]]` | `{}` | `{"kind":"agent_choice","target":{...},"labels":{...},"decision_type":...}` | |
|
|
| ### Metadata conventions |
|
|
| * `source_label_or_null` always holds canonical JSON with the ORIGINAL supervision, so `score` and `noul` information is recoverable (original target vector, level texts, expected level, threshold). |
| * `source_split` keeps the raw upstream split (`calibration`, `ood`, ... for Open-Jev); filter on it to exclude e.g. OOD rows. `partition_role` is `train` / `dev` / `test`. |
| * `family` is `tasksource:<task>`, `openjev:<task>`, or `jev_agent:<dataset>[/<config>]`. |
| * New hash recipes (`decision_set_id`, `record_id`, `raw_record_sha256`) are documented in `docs/DATA_SPEC.md` of the data pipeline repository; `choice_id == sha256(option text)` as before. |
| * Per-source build receipts (counts, drop reasons, leakage audit) are in `receipts/`. |
| <!-- scrm-data:added-sources:end --> |
|
|
