Charlie911's picture
Upload dataset
1dc2be3 verified
|
raw
history blame
5.26 kB
metadata
dataset_info:
  - config_name: clinical_psychology
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 52728
        num_examples: 125
      - name: validation
        num_bytes: 5650
        num_examples: 14
      - name: train
        num_bytes: 1884
        num_examples: 5
    download_size: 56726
    dataset_size: 60262
  - config_name: culinary_skills
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 82263
        num_examples: 292
      - name: validation
        num_bytes: 10690
        num_examples: 33
      - name: train
        num_bytes: 1310
        num_examples: 5
    download_size: 80630
    dataset_size: 94263
  - config_name: dentistry
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 138558
        num_examples: 399
      - name: validation
        num_bytes: 16953
        num_examples: 44
      - name: train
        num_bytes: 1494
        num_examples: 5
    download_size: 120479
    dataset_size: 157005
  - config_name: logic_reasoning
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 34227
        num_examples: 139
      - name: validation
        num_bytes: 4688
        num_examples: 16
      - name: train
        num_bytes: 1407
        num_examples: 5
    download_size: 35386
    dataset_size: 40322
  - config_name: mechanical
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 25281
        num_examples: 118
      - name: validation
        num_bytes: 2838
        num_examples: 13
      - name: train
        num_bytes: 745
        num_examples: 5
    download_size: 33533
    dataset_size: 28864
  - config_name: real_estate
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 36568
        num_examples: 92
    download_size: 26109
    dataset_size: 36568
  - config_name: technical
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 68955
        num_examples: 402
      - name: validation
        num_bytes: 8824
        num_examples: 45
      - name: train
        num_bytes: 759
        num_examples: 5
    download_size: 68667
    dataset_size: 78538
  - config_name: traditional_chinese_medicine_clinical_medicine
    features:
      - name: question
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: test
        num_bytes: 95060
        num_examples: 278
      - name: validation
        num_bytes: 9934
        num_examples: 31
      - name: train
        num_bytes: 1546
        num_examples: 5
    download_size: 87490
    dataset_size: 106540
configs:
  - config_name: clinical_psychology
    data_files:
      - split: test
        path: clinical_psychology/test-*
      - split: validation
        path: clinical_psychology/validation-*
      - split: train
        path: clinical_psychology/train-*
  - config_name: culinary_skills
    data_files:
      - split: test
        path: culinary_skills/test-*
      - split: validation
        path: culinary_skills/validation-*
      - split: train
        path: culinary_skills/train-*
  - config_name: dentistry
    data_files:
      - split: test
        path: dentistry/test-*
      - split: validation
        path: dentistry/validation-*
      - split: train
        path: dentistry/train-*
  - config_name: logic_reasoning
    data_files:
      - split: test
        path: logic_reasoning/test-*
      - split: validation
        path: logic_reasoning/validation-*
      - split: train
        path: logic_reasoning/train-*
  - config_name: mechanical
    data_files:
      - split: test
        path: mechanical/test-*
      - split: validation
        path: mechanical/validation-*
      - split: train
        path: mechanical/train-*
  - config_name: real_estate
    data_files:
      - split: test
        path: real_estate/test-*
  - config_name: technical
    data_files:
      - split: test
        path: technical/test-*
      - split: validation
        path: technical/validation-*
      - split: train
        path: technical/train-*
  - config_name: traditional_chinese_medicine_clinical_medicine
    data_files:
      - split: test
        path: traditional_chinese_medicine_clinical_medicine/test-*
      - split: validation
        path: traditional_chinese_medicine_clinical_medicine/validation-*
      - split: train
        path: traditional_chinese_medicine_clinical_medicine/train-*