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| { |
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| }, |
| { |
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| { |
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| { |
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| { |
| "name": "content_hash", |
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| }, |
| { |
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| "nullable": false |
| }, |
| { |
| "name": "candidates", |
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| "nullable": false |
| }, |
| { |
| "name": "target", |
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| "nullable": true |
| }, |
| { |
| "name": "ordered_targets", |
| "type": "list<element: struct<candidate_id: string, action_name: string not null, arguments_json: string, label_json: string>>", |
| "nullable": false |
| }, |
| { |
| "name": "labels", |
| "type": "struct<complete: bool, trajectory_success: bool, value_target: double, reward: double, score: double, source_pass_rate: double, outcome_evidence: string>", |
| "nullable": false |
| }, |
| { |
| "name": "provenance", |
| "type": "struct<dataset_id: string not null, dataset_revision: string not null, source_config: string not null, raw_split: string not null, source_row_index: int64 not null, source_identity: string not null, trajectory_id: string not null, step_index: int64 not null, decision_ordinal: int64 not null, adapter_version: string not null, license_metadata_json: string not null, source_metadata_json: string not null>", |
| "nullable": false |
| }, |
| { |
| "name": "training", |
| "type": "struct<choice_eligible: bool not null, completion_eligible: bool not null, value_eligible: bool not null, score_eligible: bool not null, boolean_eligible: bool not null, arguments_eligible: bool not null, use_for_bc: bool not null, use_for_value: bool not null, supervision_evidence: string not null, choice_ineligible_reason: string, quality_weight: double not null>", |
| "nullable": false |
| }, |
| { |
| "name": "training_split", |
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| "nullable": true |
| } |
| ], |
| "method": "Rows were routed in source order by existing training_split and written as unmodified Arrow table slices. Every shard was fully re-read with PyArrow during build to validate file SHA256, schema, row count, and split purity. This finalization independently re-reads ID/split columns and verifies exact ordered unique-record identity against the canonical source." |
| } |
|
|
