size_categories:n<1K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: question
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: string
  - name: unit
    dtype: string
  - name: table_title
    dtype: string
  - name: table
    dtype: string
  - name: table_for_pd
    struct:
    - name: ''
      sequence: string
    - name: Activity
      sequence: string
    - name: Age (years)
      sequence: string
    - name: April
      sequence: string
    - name: Arrive
      sequence: string
    - name: Begin
      sequence: string
    - name: Cause
      sequence: string
    - name: Column 1
      sequence: string
    - name: Column 2
      sequence: string
    - name: Column 3
      sequence: string
    - name: Column 4
      sequence: string
    - name: Column 5
      sequence: string
    - name: Company
      sequence: string
    - name: Day
      sequence: string
    - name: Depart
      sequence: string
    - name: Dog
      sequence: string
    - name: Emails
      sequence: string
    - name: Employee
      sequence: string
    - name: Employees
      sequence: string
    - name: End
      sequence: string
    - name: Event
      sequence: string
    - name: Frequency
      sequence: string
    - name: Games won
      sequence: string
    - name: Horizontally
      sequence: string
    - name: Kilograms of food
      sequence: string
    - name: 'Leaf '
      sequence: string
    - name: Location
      sequence: string
    - name: March
      sequence: string
    - name: Minutes
      sequence: string
    - name: Minutes spent driving
      sequence: string
    - name: Month
      sequence: string
    - name: Name
      sequence: string
    - name: Number of apples
      sequence: string
    - name: Number of bottles
      sequence: string
    - name: Number of branches
      sequence: string
    - name: Number of buckets
      sequence: string
    - name: Number of cans of food
      sequence: string
    - name: Number of clubs
      sequence: string
    - name: Number of cows
      sequence: string
    - name: Number of cupcakes
      sequence: string
    - name: Number of cups
      sequence: string
    - name: Number of fan letters
      sequence: string
    - name: Number of fields
      sequence: string
    - name: Number of gym lockers
      sequence: string
    - name: Number of pairs of shorts
      sequence: string
    - name: Number of pink highlighters
      sequence: string
    - name: Number of practices
      sequence: string
    - name: Number of red blocks
      sequence: string
    - name: Number of respondents
      sequence: string
    - name: Number of shells
      sequence: string
    - name: Number of soccer fields
      sequence: string
    - name: Number of students
      sequence: string
    - name: Number of tables
      sequence: string
    - name: Number of tickets
      sequence: string
    - name: Number of times
      sequence: string
    - name: Number of trips
      sequence: string
    - name: Number of vans
      sequence: string
    - name: Number of watermelons
      sequence: string
    - name: Number spun
      sequence: string
    - name: Park
      sequence: string
    - name: Pay period
      sequence: string
    - name: Per-student budget
      sequence: string
    - name: Price
      sequence: string
    - name: Quantity demanded
      sequence: string
    - name: Quantity supplied
      sequence: string
    - name: Record time (minutes)
      sequence: string
    - name: Score
      sequence: string
    - name: Stem
      sequence: string
    - name: Teacher
      sequence: string
    - name: Thursday
      sequence: string
    - name: Times eaten
      sequence: string
    - name: Type
      sequence: string
    - name: Vertically
      sequence: string
    - name: Wednesday
      sequence: string
    - name: Year
      sequence: string
    - name: x
      sequence: string
    - name: y
      sequence: string
  - name: row_num
    dtype: int64
  - name: column_num
    dtype: int64
  - name: solution
    dtype: string
  - name: ques_type
    dtype: string
  - name: ans_type
    dtype: string
  - name: grade
    dtype: int64
  - name: split
    dtype: string
  splits:
  - name: train
    num_bytes: 101349
    num_examples: 100
  download_size: 95990
  dataset_size: 101349
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
