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  ---
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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: question
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- dtype: string
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- - name: answers
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- sequence: string
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- - name: table
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- struct:
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- - name: header
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- sequence: string
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- - name: rows
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- sequence:
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- sequence: string
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- - name: aggregation_label
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- dtype: string
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- - name: answer_coordinates
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- sequence:
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- sequence: int64
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- splits:
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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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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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+ ## Dataset Description
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+
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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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+
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+ ### Dataset Summary
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+
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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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+
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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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+
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+ ### Supported Tasks and Leaderboards
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+
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+ question-answering, table-question-answering
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+
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+ ### Languages
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+
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+ en
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ #### default
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+
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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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+
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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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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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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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+
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+ ### Data Splits
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+
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+ TBA
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [Needs More Information]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [Needs More Information]
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+
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+ #### Who are the source language producers?
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+
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+ [Needs More Information]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [Needs More Information]
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+
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+ #### Who are the annotators?
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+
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+ [Needs More Information]
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+
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+ ### Personal and Sensitive Information
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+
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+ [Needs More Information]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [Needs More Information]
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+
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+ ### Discussion of Biases
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+
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+ [Needs More Information]
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+
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+ ### Other Known Limitations
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+
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+ [Needs More Information]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ Panupong Pasupat and Percy Liang
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+
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+ ### Licensing Information
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+
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+ Creative Commons Attribution Share Alike 4.0 International
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+
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+ ### Citation Information
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+
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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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+
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+ ### Contributions
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+
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+ Thanks to [@SivilTaram](https://github.com/SivilTaram) for adding this dataset.