Dataset Card for dev_mode-wtq

Dataset Summary

The dev_mode-wtq dataset is a small-scale dataset for the task of question answering on semi-structured tables.

This data includes the aggregation_label and answer_coordinates to make it easy to train this model on any TAPAS based modles.

Supported Tasks and Leaderboards

question-answering, table-question-answering

Languages

en

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 27.91 MB
• Size of the generated dataset: 45.68 MB
• Total amount of disk used: 73.60 MB

An example of 'validation' looks as follows:

{
  "id": "nt-0",
  "question": "What is the duration for the last invocation?",
  "answers": [
    "340 ms"
  ],
  "table": {
    "header": [
      "recent",
      "type",
      "spans",
      "logs",
      "errors",
      "warnings",
      "duration",
      "resource"
    ],
    "rows": [
      [
        "1",
        "span",
        "1",
        "1",
        "1",
        "2",
        "340 ms",
        "aws-lambda-typescript-express-dev-express"
      ]
    ]
  }
}

Data Fields

The data fields are the same among all splits.

default

• id: a string feature.
• question: a string feature.
• answers: a list of string feature.
• answers_coordinates: a list of int,int tuples.
• aggregation_label: a string feature.
• table: a dictionary feature containing:
  • header: a list of string features.
  • rows: a list of list of string features:
  • name: a string feature.

Data Splits

TBA

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

Panupong Pasupat and Percy Liang

Licensing Information

Creative Commons Attribution Share Alike 4.0 International

Citation Information

@inproceedings{pasupat-liang-2015-compositional,
    title = "Compositional Semantic Parsing on Semi-Structured Tables",
    author = "Pasupat, Panupong and Liang, Percy",
    booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = jul,
    year = "2015",
    address = "Beijing, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P15-1142",
    doi = "10.3115/v1/P15-1142",
    pages = "1470--1480",
}

Contributions

Thanks to @SivilTaram for adding this dataset.