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metadata
annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - en
license:
  - cc-by-sa-3.0
multilinguality:
  - monolingual
size_categories:
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - table-to-text
task_ids: []
paperswithcode_id: null
pretty_name: GREAT
dataset_info:
  features:
    - name: id
      dtype: int32
    - name: source_tokens
      sequence: string
    - name: has_bug
      dtype: bool
    - name: error_location
      dtype: int32
    - name: repair_candidates
      sequence: string
    - name: bug_kind
      dtype: int32
    - name: bug_kind_name
      dtype: string
    - name: repair_targets
      sequence: int32
    - name: edges
      list:
        list:
          - name: before_index
            dtype: int32
          - name: after_index
            dtype: int32
          - name: edge_type
            dtype: int32
          - name: edge_type_name
            dtype: string
    - name: provenances
      list:
        - name: datasetProvenance
          struct:
            - name: datasetName
              dtype: string
            - name: filepath
              dtype: string
            - name: license
              dtype: string
            - name: note
              dtype: string
  splits:
    - name: train
      num_bytes: 14705534822
      num_examples: 1798742
    - name: validation
      num_bytes: 1502956919
      num_examples: 185656
    - name: test
      num_bytes: 7880762248
      num_examples: 968592
  download_size: 23310374002
  dataset_size: 24089253989

Dataset Card for GREAT

Table of Contents

Dataset Description

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

Here are some examples of questions and facts:

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @abhishekkrthakur for adding this dataset.