Create README.md

README.md

@@ -1,33 +1,217 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: question
-    dtype: string
-  - name: answers
-    sequence: string
-  - name: table
-    struct:
-    - name: header
-      sequence: string
-    - name: rows
-      sequence:
-        sequence: string
-    - name: name
-      dtype: string
-  - name: aggregation_label
-    dtype: string
-  - name: answer_coordinates
-    sequence:
-      sequence: int64
-  splits:
-  - name: train
-    num_bytes: 42991
-    num_examples: 19
-  download_size: 26642
-  dataset_size: 42991
+annotations_creators:
+- crowdsourced
+language_creators:
+- found
+language:
+- en
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+paperswithcode_id: null
+pretty_name: WikiTableQuestions-wtq
+size_categories:
+- 10K<n<100K
+source_datasets:
+- wikitablequestions
+task_categories:
+- question-answering
+task_ids: []
+tags:
+- table-question-answering
 ---
-# Dataset Card for "wikitablequestions-wtq"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# Dataset Card for WikiTableQuestions-wtq
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** [WikiTableQuestions homepage](https://nlp.stanford.edu/software/sempre/wikitable)
+- **Repository:** [WikiTableQuestions repository](https://github.com/ppasupat/WikiTableQuestions)
+- **Paper:** [Compositional Semantic Parsing on Semi-Structured Tables](https://arxiv.org/abs/1508.00305)
+- **Leaderboard:** [WikiTableQuestions leaderboard on PaperWithCode](https://paperswithcode.com/dataset/wikitablequestions)
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+The WikiTableQuestions-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](https://huggingface.co/docs/transformers/model_doc/tapas#usage-finetuning) 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 total average attendance at all USL First Division matches?",
+  "answers": [
+    "36755"
+  ],
+  "table": {
+    "header": [
+      "Year",
+      "Division",
+      "League",
+      "Regular Season",
+      "Playoffs",
+      "Open Cup",
+      "Avg. Attendance"
+    ],
+    "rows": [
+      [
+        "2001",
+        "2",
+        "USL A-League",
+        "4th, Western",
+        "Quarterfinals",
+        "Did not qualify",
+        "7,169"
+      ],
+      ...
+    ],
+    "name": "csv/204-csv/590.tsv"
+  },
+  "aggregation_label": "SUM",
+  "answer_coordinates": [
+    [
+      4,
+      6
+    ],
+    ...
+  ]
+}
+```
+
+### 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](https://github.com/SivilTaram) for adding this dataset.