Add official subset metadata for selected problems
Browse files- README.md +22 -1
- metadata/hard.json +12 -0
- metadata/hard1.json +12 -0
- metadata/hard2.json +12 -0
- metadata/normal.json +12 -0
README.md
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@@ -43,7 +43,7 @@ Because the full raw dataset is very large, the competition organizers selected
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## Subsets
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- `normal`: 1000 selected problems, chosen programmatically, with 500 ground-truth `TRUE` labels and 500 ground-truth `FALSE` labels
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- `hard`: 200 selected problems
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- `hard1`: a deduplicated version of the 200-problem `hard` subset, containing 69 unique problems total, with 24 ground-truth `TRUE` labels and 45 ground-truth `FALSE` labels
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- `hard2`: 200 selected problems co-curated by human mathematicians and AI, with 100 ground-truth `TRUE` labels and 100 ground-truth `FALSE` labels
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- `equation2`: Equation 2
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- `answer`: whether Equation 1 implies Equation 2 over all magmas
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Records in `hard1` use `hard1_*` IDs with `difficulty: hard`, and records in `hard2` use `hard2_*` IDs with `difficulty: hard`.
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## Usage
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- `data/hard.jsonl`
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- `data/hard1.jsonl`
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- `data/hard2.jsonl`
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## Subsets
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- `normal`: 1000 selected problems, chosen programmatically, with 500 ground-truth `TRUE` labels and 500 ground-truth `FALSE` labels
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- `hard`: 200 selected problems co-curated by human mathematicians and AI, with 74 ground-truth `TRUE` labels and 126 ground-truth `FALSE` labels
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- `hard1`: a deduplicated version of the 200-problem `hard` subset, containing 69 unique problems total, with 24 ground-truth `TRUE` labels and 45 ground-truth `FALSE` labels
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- `hard2`: 200 selected problems co-curated by human mathematicians and AI, with 100 ground-truth `TRUE` labels and 100 ground-truth `FALSE` labels
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- `equation2`: Equation 2
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- `answer`: whether Equation 1 implies Equation 2 over all magmas
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## Subset Metadata
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Subset-level metadata for the official released subsets is stored under `metadata/`.
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Each metadata file contains:
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- `subset_name`: subset identifier
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- `source`: release source, such as `official`
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- `curators`: list of named curators, if provided
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- `difficulty`: subset difficulty label
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- `problem_count`: total number of problems in the subset
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- `true_count`: number of ground-truth `TRUE` labels
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- `false_count`: number of ground-truth `FALSE` labels
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- `selection_method`: high-level selection method such as `programmatic`, `human`, or `human_ai`
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- `derived_from`: parent subset name if the subset is derived from another subset
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- `notes`: optional explanatory notes
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Records in `hard1` use `hard1_*` IDs with `difficulty: hard`, and records in `hard2` use `hard2_*` IDs with `difficulty: hard`.
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## Usage
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- `data/hard.jsonl`
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- `data/hard1.jsonl`
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- `data/hard2.jsonl`
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- `metadata/normal.json`
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- `metadata/hard.json`
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- `metadata/hard1.json`
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- `metadata/hard2.json`
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metadata/hard.json
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{
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"subset_name": "hard",
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"source": "official",
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"curators": [],
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"difficulty": "hard",
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"problem_count": 200,
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"true_count": 74,
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"false_count": 126,
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"selection_method": "human_ai",
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"derived_from": null,
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"notes": ""
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}
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metadata/hard1.json
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{
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"subset_name": "hard1",
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"source": "official",
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"curators": [],
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"difficulty": "hard",
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"problem_count": 69,
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"true_count": 24,
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"false_count": 45,
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"selection_method": "human_ai",
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"derived_from": "hard",
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"notes": "Deduplicated version of the hard subset; contains no duplicate problems."
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}
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metadata/hard2.json
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{
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"subset_name": "hard2",
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"source": "official",
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"curators": [],
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"difficulty": "hard",
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"problem_count": 200,
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"true_count": 100,
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"false_count": 100,
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"selection_method": "human_ai",
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"derived_from": null,
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"notes": ""
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}
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metadata/normal.json
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{
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"subset_name": "normal",
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"source": "official",
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"curators": [],
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"difficulty": "normal",
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"problem_count": 1000,
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"true_count": 500,
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"false_count": 500,
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"selection_method": "programmatic",
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"derived_from": null,
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"notes": ""
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}
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