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Update README.md

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README.md CHANGED
@@ -324,7 +324,7 @@ configs:
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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="90%">
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  </div>
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  ## Dataset Description
@@ -404,8 +404,8 @@ DatasetDict({
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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|
@@ -429,7 +429,7 @@ DatasetDict({
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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|
@@ -467,9 +467,7 @@ DatasetDict({
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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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- If the number of solutions is less than 3, the data fields related to Solution 1 and 2 can be empty.
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-
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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|
@@ -503,7 +501,7 @@ If the number of solutions is less than 3, the data fields related to Solution 1
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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|
@@ -515,7 +513,7 @@ Besides the data fields from the original datasets, all of these three datasets
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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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@@ -530,10 +528,10 @@ For the datasets, E2H-GSM8K, E2H-ARC and E2H-Winogrande, all of them only have e
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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="60%">
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  </div>
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  ## Dataset Creation
@@ -548,4 +546,4 @@ For the datasets, E2H-GSM8K, E2H-ARC and E2H-Winogrande, all of them only have e
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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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+ ```