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- name: train
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num_bytes: 3765
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num_examples: 6
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download_size: 0
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dataset_size: 3765
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---
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# Dataset Card for "dev_mode-wtq"
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---
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annotations_creators:
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- crowdsourced
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language_creators:
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- found
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language:
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- en
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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paperswithcode_id: null
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pretty_name: WikiTableQuestions-wtq
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size_categories:
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- 10K<n<100K
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source_datasets:
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- wikitablequestions
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task_categories:
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- question-answering
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task_ids: []
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tags:
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- table-question-answering
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---
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# Dataset Card for dev_mode-wtq
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** [WikiTableQuestions homepage](https://nlp.stanford.edu/software/sempre/wikitable)
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- **Repository:** [WikiTableQuestions repository](https://github.com/ppasupat/WikiTableQuestions)
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- **Paper:** [Compositional Semantic Parsing on Semi-Structured Tables](https://arxiv.org/abs/1508.00305)
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- **Leaderboard:** [WikiTableQuestions leaderboard on PaperWithCode](https://paperswithcode.com/dataset/wikitablequestions)
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- **Point of Contact:** [Needs More Information]
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### Dataset Summary
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The dev_mode-wtq dataset is a small-scale dataset for the task of question answering on semi-structured tables.
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This data includes the `aggregation_label` and `answer_coordinates` to make it easy to train this model on any [TAPAS](https://huggingface.co/docs/transformers/model_doc/tapas#usage-finetuning) based modles.
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### Supported Tasks and Leaderboards
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question-answering, table-question-answering
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### Languages
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en
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## Dataset Structure
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### Data Instances
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#### default
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- **Size of downloaded dataset files:** 27.91 MB
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- **Size of the generated dataset:** 45.68 MB
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- **Total amount of disk used:** 73.60 MB
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An example of 'validation' looks as follows:
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```
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{
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"id": "nt-0",
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"question": "What is the duration for the last invocation?",
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"answers": [
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"340 ms"
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],
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"table": {
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"header": [
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"recent",
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"type",
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"spans",
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"logs",
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"errors",
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"warnings",
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"duration",
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"resource"
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],
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"rows": [
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[
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"1",
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"span",
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"1",
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"1",
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"1",
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"2",
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"340 ms",
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"aws-lambda-typescript-express-dev-express"
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]
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]
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}
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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#### default
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- `id`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a `list` of `string` feature.
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- `answers_coordinates`: a `list` of `int,int` tuples.
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- `aggregation_label`: a `string` feature.
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- `table`: a dictionary feature containing:
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- `header`: a `list` of `string` features.
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- `rows`: a `list` of `list` of `string` features:
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- `name`: a `string` feature.
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### Data Splits
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TBA
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## Dataset Creation
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### Curation Rationale
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[Needs More Information]
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### Source Data
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#### Initial Data Collection and Normalization
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[Needs More Information]
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#### Who are the source language producers?
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[Needs More Information]
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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[Needs More Information]
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### Personal and Sensitive Information
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[Needs More Information]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Needs More Information]
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### Discussion of Biases
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[Needs More Information]
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### Other Known Limitations
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[Needs More Information]
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## Additional Information
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### Dataset Curators
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Panupong Pasupat and Percy Liang
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### Licensing Information
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Creative Commons Attribution Share Alike 4.0 International
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### Citation Information
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```
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@inproceedings{pasupat-liang-2015-compositional,
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title = "Compositional Semantic Parsing on Semi-Structured Tables",
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author = "Pasupat, Panupong and Liang, Percy",
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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)",
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month = jul,
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year = "2015",
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address = "Beijing, China",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/P15-1142",
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doi = "10.3115/v1/P15-1142",
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pages = "1470--1480",
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}
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```
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### Contributions
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Thanks to [@SivilTaram](https://github.com/SivilTaram) for adding this dataset.
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