size_categories:1K<n<10K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: merged_context
    sequence:
      sequence: string
  - name: qa_pairs
    sequence:
      sequence: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: answer_pred
    dtype: string
  - name: answer_dict
    struct:
    - name: $1
      dtype: string
    - name: $1 and $2
      dtype: string
    - name: $1 and $2 respectively
      dtype: string
    - name: $1 is older
      dtype: string
    - name: $1 miles northwest
      dtype: string
    - name: $1 minutes
      dtype: string
    - name: $1 or $2
      dtype: string
    - name: $1 was born in 1927, $2 was born in 1955
      dtype: string
    - name: $1, $2
      dtype: string
    - name: $1, $2, $3
      dtype: string
    - name: $1, $2, $3, $4
      dtype: string
    - name: $1, $2, $3, $4, $5, $6, $7
      dtype: string
    - name: $1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16,
        $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31,
        $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46,
        $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61,
        $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76,
        $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91,
        $92, $93,
      dtype: string
    - name: $1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16,
        $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31,
        $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46,
        $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61,
        $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76,
        $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91,
        $92, $93, $
      dtype: string
    - name: $1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16,
        $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31,
        $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46,
        $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61,
        $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76,
        $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91,
        $92, $93, $94, $95
      dtype: string
    - name: $1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13, $14, $15, $16,
        $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31,
        $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46,
        $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61,
        $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76,
        $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91,
        $92, $93, $94, $95, $96,
      dtype: string
    - name: $1, $2, $3, etc.
      dtype: string
    - name: $1, $2, $3,...
      dtype: string
    - name: $1,$2
      dtype: string
    - name: $10
      dtype: string
    - name: $2
      dtype: string
    - name: $2 seconds
      dtype: string
    - name: $2, $3
      dtype: string
    - name: $2, $3, $4
      dtype: string
    - name: $2, $3, $4, $5
      dtype: string
    - name: $2,$3,$4,$5
      dtype: string
    - name: $2-$3
      dtype: string
    - name: $3
      dtype: string
    - name: $3, $4
      dtype: string
    - name: $4
      dtype: string
    - name: $5
      dtype: string
    - name: $6
      dtype: string
    - name: $7
      dtype: string
    - name: $8
      dtype: string
    - name: $9
      dtype: string
    - name: $ANSWER
      dtype: string
  - name: f1
    dtype: float64
  - name: precision
    dtype: float64
  - name: recall
    dtype: float64
  splits:
  - name: train
    num_bytes: 461373600
    num_examples: 7405
  download_size: 61947658
  dataset_size: 461373600
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
