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README.md
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# Easy2Hard-Bench
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<div align="center">
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<img src="./img/hf_data.png" alt="Logo" width="
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</div>
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## Dataset Description
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})
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```
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|Field|Type|Description|
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|---|---|---|
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|contest|string|name of the contest|
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|unnorm_rating_upper|float|upper threshold of difficulty suggested by AoPS|
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|ever_exist|bool|whether the problem exists in the MATH dataset|
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|Field|Type|Description|
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|---|---|---|
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|contest_id|int|Codeforce contest id|
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|original_tags|string|original tags on Codeforces|
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|ever_exist|bool|whether the problem exists in the APPS dataset|
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#### E2H-Lichess
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|Field|Type|Description|
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|---|---|---|
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|puzzle_id|string|id of the puzzle on Lichess|
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|previous_fen|string|Forsyth–Edwards notation (FEN) of the puzzle before last move by the opponent|
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|last_move_uci|string|universal chess interface (UCI) notation of last move by the opponent|
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Besides the data fields from the original datasets, all of these three datasets have the following difficulty-realted data fields:
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|Field|Type|Description|
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|unnorm_rating|float|unnormalized estimated difficulty|
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|unnorm_rating_std|float|standard deviation of unnormalized estimated difficulty|
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For the newly crafted datasets, E2H-AMC, E2H-Codeforces and E2H-Lichess, all of them contain a train and evaluation splits.
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| E2H-ARC | N.A. | 1,172 |
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| E2H-Winogrande | N.A. | 1,267 |
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<div align="center">
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<img src="./img/hf_distribution.png" alt="Logo" width="
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</div>
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## Dataset Creation
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```
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TBD
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```
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# Easy2Hard-Bench
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<div align="center">
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<img src="./img/hf_data.png" alt="Logo" width="95%">
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</div>
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## Dataset Description
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})
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```
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## Data Fields
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### E2H-AMC
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|Field|Type|Description|
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|---|---|---|
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|contest|string|name of the contest|
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|unnorm_rating_upper|float|upper threshold of difficulty suggested by AoPS|
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|ever_exist|bool|whether the problem exists in the MATH dataset|
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### E2H-Codeforces
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|Field|Type|Description|
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|---|---|---|
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|contest_id|int|Codeforce contest id|
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|original_tags|string|original tags on Codeforces|
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|ever_exist|bool|whether the problem exists in the APPS dataset|
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### E2H-Lichess
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|Field|Type|Description|
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|---|---|---|
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|puzzle_id|string|id of the puzzle on Lichess|
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|previous_fen|string|Forsyth–Edwards notation (FEN) of the puzzle before last move by the opponent|
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|last_move_uci|string|universal chess interface (UCI) notation of last move by the opponent|
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### E2H-GSM8K, E2H-ARC, E2H-Winogrande
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Besides the data fields from the original datasets, all of these three datasets have the following difficulty-realted data fields:
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|Field|Type|Description|
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|unnorm_rating|float|unnormalized estimated difficulty|
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|unnorm_rating_std|float|standard deviation of unnormalized estimated difficulty|
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## Data Splits
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For the newly crafted datasets, E2H-AMC, E2H-Codeforces and E2H-Lichess, all of them contain a train and evaluation splits.
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| E2H-ARC | N.A. | 1,172 |
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| E2H-Winogrande | N.A. | 1,267 |
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## Data Difficulty Distribution
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<div align="center">
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<img src="./img/hf_distribution.png" alt="Logo" width="75%">
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</div>
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## Dataset Creation
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```
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TBD
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```
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