README.md

metadata

dataset_info:
  features:
    - name: weighted gpa
      dtype: float64
    - name: term gpa
      dtype: float64
    - name: class grade
      dtype: int64
    - name: assigned date
      dtype: string
    - name: due date
      dtype: string
    - name: field
      dtype: string
    - name: field average (%)
      dtype: int64
    - name: category
      dtype: string
    - name: category weight
      dtype: float64
    - name: category average
      dtype: int64
    - name: daily hours available
      dtype: int64
    - name: days before due
      dtype: int64
    - name: difficulty
      dtype: string
    - name: field proficiency
      dtype: string
    - name: teacher experience
      dtype: string
    - name: work day positivity
      dtype: string
    - name: incentive
      dtype: string
    - name: confidence
      dtype: string
    - name: attendence
      dtype: string
    - name: participation
      dtype: string
    - name: procrastination
      dtype: string
    - name: predicted assignment grade
      dtype: int64
  splits:
    - name: train
      num_bytes: 30814.4
      num_examples: 160
    - name: validation
      num_bytes: 3851.8
      num_examples: 20
    - name: test
      num_bytes: 3851.8
      num_examples: 20
  download_size: 32393
  dataset_size: 38518.00000000001
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - tabular-regression
language:
  - en