
# Dataset Card for "qanta"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [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)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [http://www.qanta.org/](http://www.qanta.org/)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [Quizbowl: The Case for Incremental Question Answering](https://arxiv.org/abs/1904.04792)
- **Point of Contact:** [Jordan Boyd-Graber](mailto:jbg@umiacs.umd.edu)
- **Size of downloaded dataset files:** 170.75 MB
- **Size of the generated dataset:** 147.18 MB
- **Total amount of disk used:** 317.93 MB

### Dataset Summary

The Qanta dataset is a question answering dataset based on the academic trivia game Quizbowl.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances

#### mode=first,char_skip=25

- **Size of downloaded dataset files:** 170.75 MB
- **Size of the generated dataset:** 147.18 MB
- **Total amount of disk used:** 317.93 MB

An example of 'guessdev' looks as follows.
```
This example was too long and was cropped:

{
    "answer": "Apollo_program",
    "category": "History",
    "char_idx": -1,
    "dataset": "quizdb.org",
    "difficulty": "easy_college",
    "first_sentence": "As part of this program, William Anders took a photo that Galen Rowell called \"the most influential environmental photograph ever taken.\"",
    "fold": "guessdev",
    "full_question": "\"As part of this program, William Anders took a photo that Galen Rowell called \\\"the most influential environmental photograph e...",
    "gameplay": false,
    "id": "127028-first",
    "page": "Apollo_program",
    "proto_id": "",
    "qanta_id": 127028,
    "qdb_id": 126689,
    "raw_answer": "Apollo program [or Project Apollo; accept Apollo 8; accept Apollo 1; accept Apollo 11; prompt on landing on the moon]",
    "sentence_idx": -1,
    "subcategory": "American",
    "text": "As part of this program, William Anders took a photo that Galen Rowell called \"the most influential environmental photograph ever taken.\"",
    "tokenizations": [[0, 137], [138, 281], [282, 412], [413, 592], [593, 675]],
    "tournament": "ACF Fall",
    "year": 2016
}
```

### Data Fields

The data fields are the same among all splits.

#### mode=first,char_skip=25
- `id`: a `string` feature.
- `qanta_id`: a `int32` feature.
- `proto_id`: a `string` feature.
- `qdb_id`: a `int32` feature.
- `dataset`: a `string` feature.
- `text`: a `string` feature.
- `full_question`: a `string` feature.
- `first_sentence`: a `string` feature.
- `char_idx`: a `int32` feature.
- `sentence_idx`: a `int32` feature.
- `tokenizations`: a dictionary feature containing:
  - `feature`: a `int32` feature.
- `answer`: a `string` feature.
- `page`: a `string` feature.
- `raw_answer`: a `string` feature.
- `fold`: a `string` feature.
- `gameplay`: a `bool` feature.
- `category`: a `string` feature.
- `subcategory`: a `string` feature.
- `tournament`: a `string` feature.
- `difficulty`: a `string` feature.
- `year`: a `int32` feature.

### Data Splits

|         name          |adversarial|buzzdev|buzztrain|guessdev|guesstrain|buzztest|guesstest|
|-----------------------|----------:|------:|--------:|-------:|---------:|-------:|--------:|
|mode=first,char_skip=25|       1145|   1161|    16706|    1055|     96221|    1953|     2151|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Citation Information

```
@article{Rodriguez2019QuizbowlTC,
  title={Quizbowl: The Case for Incremental Question Answering},
  author={Pedro Rodriguez and Shi Feng and Mohit Iyyer and He He and Jordan L. Boyd-Graber},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.04792}
}
```


### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.
task_categories:question-answering annotations_creators:machine-generated language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:unknown quizbowl arxiv:1904.04792 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": [], "paperswithcode_id": "quizbowl", "pretty_name": "Quizbowl", "tags": ["quizbowl"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "qanta_id", "dtype": "int32"}, {"name": "proto_id", "dtype": "string"}, {"name": "qdb_id", "dtype": "int32"}, {"name": "dataset", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "full_question", "dtype": "string"}, {"name": "first_sentence", "dtype": "string"}, {"name": "char_idx", "dtype": "int32"}, {"name": "sentence_idx", "dtype": "int32"}, {"name": "tokenizations", "sequence": {"sequence": "int32", "length": 2}}, {"name": "answer", "dtype": "string"}, {"name": "page", "dtype": "string"}, {"name": "raw_answer", "dtype": "string"}, {"name": "fold", "dtype": "string"}, {"name": "gameplay", "dtype": "bool"}, {"name": "category", "dtype": "string"}, {"name": "subcategory", "dtype": "string"}, {"name": "tournament", "dtype": "string"}, {"name": "difficulty", "dtype": "string"}, {"name": "year", "dtype": "int32"}], "config_name": "mode=first,char_skip=25", "splits": [{"name": "adversarial", "num_bytes": 1258844, "num_examples": 1145}, {"name": "buzzdev", "num_bytes": 1553636, "num_examples": 1161}, {"name": "buzztest", "num_bytes": 2653425, "num_examples": 1953}, {"name": "buzztrain", "num_bytes": 19699736, "num_examples": 16706}, {"name": "guessdev", "num_bytes": 1414882, "num_examples": 1055}, {"name": "guesstest", "num_bytes": 2997123, "num_examples": 2151}, {"name": "guesstrain", "num_bytes": 117599750, "num_examples": 96221}], "download_size": 170754918, "dataset_size": 147177396}}
TAGS
#task_categories-question-answering #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #quizbowl #arxiv-1904.04792 #region-us 

Dataset Card for "qanta"
========================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* Paper: Quizbowl: The Case for Incremental Question Answering
* Point of Contact: Jordan Boyd-Graber
* Size of downloaded dataset files: 170.75 MB
* Size of the generated dataset: 147.18 MB
* Total amount of disk used: 317.93 MB


### Dataset Summary


The Qanta dataset is a question answering dataset based on the academic trivia game Quizbowl.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### mode=first,char\_skip=25


* Size of downloaded dataset files: 170.75 MB
* Size of the generated dataset: 147.18 MB
* Total amount of disk used: 317.93 MB


An example of 'guessdev' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### mode=first,char\_skip=25


* 'id': a 'string' feature.
* 'qanta\_id': a 'int32' feature.
* 'proto\_id': a 'string' feature.
* 'qdb\_id': a 'int32' feature.
* 'dataset': a 'string' feature.
* 'text': a 'string' feature.
* 'full\_question': a 'string' feature.
* 'first\_sentence': a 'string' feature.
* 'char\_idx': a 'int32' feature.
* 'sentence\_idx': a 'int32' feature.
* 'tokenizations': a dictionary feature containing:
	+ 'feature': a 'int32' feature.
* 'answer': a 'string' feature.
* 'page': a 'string' feature.
* 'raw\_answer': a 'string' feature.
* 'fold': a 'string' feature.
* 'gameplay': a 'bool' feature.
* 'category': a 'string' feature.
* 'subcategory': a 'string' feature.
* 'tournament': a 'string' feature.
* 'difficulty': a 'string' feature.
* 'year': a 'int32' feature.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.



### Dataset Summary


The Qanta dataset is a question answering dataset based on the academic trivia game Quizbowl. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### mode=first,char\_skip=25


* Size of downloaded dataset files: 170.75 MB
* Size of the generated dataset: 147.18 MB
* Total amount of disk used: 317.93 MB


An example of 'guessdev' looks as follows. ### Data Fields


The data fields are the same among all splits. #### mode=first,char\_skip=25


* 'id': a 'string' feature.
* 'qanta\_id': a 'int32' feature.
* 'proto\_id': a 'string' feature.
* 'qdb\_id': a 'int32' feature.
* 'dataset': a 'string' feature.
* 'text': a 'string' feature.
* 'full\_question': a 'string' feature.
* 'first\_sentence': a 'string' feature.
* 'char\_idx': a 'int32' feature.
* 'sentence\_idx': a 'int32' feature.
* 'tokenizations': a dictionary feature containing:
	+ 'feature': a 'int32' feature.
* 'answer': a 'string' feature.
* 'page': a 'string' feature.
* 'raw\_answer': a 'string' feature.
* 'fold': a 'string' feature.
* 'gameplay': a 'bool' feature.
* 'category': a 'string' feature.
* 'subcategory': a 'string' feature.
* 'tournament': a 'string' feature.
* 'difficulty': a 'string' feature.
* 'year': a 'int32' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.
TAGS
#task_categories-question-answering #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-unknown #quizbowl #arxiv-1904.04792 #region-us 
 ### Dataset Summary


The Qanta dataset is a question answering dataset based on the academic trivia game Quizbowl. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### mode=first,char\_skip=25


* Size of downloaded dataset files: 170.75 MB
* Size of the generated dataset: 147.18 MB
* Total amount of disk used: 317.93 MB


An example of 'guessdev' looks as follows. ### Data Fields


The data fields are the same among all splits. #### mode=first,char\_skip=25


* 'id': a 'string' feature.
* 'qanta\_id': a 'int32' feature.
* 'proto\_id': a 'string' feature.
* 'qdb\_id': a 'int32' feature.
* 'dataset': a 'string' feature.
* 'text': a 'string' feature.
* 'full\_question': a 'string' feature.
* 'first\_sentence': a 'string' feature.
* 'char\_idx': a 'int32' feature.
* 'sentence\_idx': a 'int32' feature.
* 'tokenizations': a dictionary feature containing:
	+ 'feature': a 'int32' feature.
* 'answer': a 'string' feature.
* 'page': a 'string' feature.
* 'raw\_answer': a 'string' feature.
* 'fold': a 'string' feature.
* 'gameplay': a 'bool' feature.
* 'category': a 'string' feature.
* 'subcategory': a 'string' feature.
* 'tournament': a 'string' feature.
* 'difficulty': a 'string' feature.
* 'year': a 'int32' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.