Datasets:
google_wellformed_query

	---
	task_categories:
	- text-classification
	multilinguality:
	- monolingual
	task_ids:
	- text-scoring
	language:
	- en
	annotations_creators:
	- crowdsourced
	source_datasets:
	- extended
	size_categories:
	- 10K<n<100K
	license:
	- cc-by-sa-4.0
	paperswithcode_id: null
	pretty_name: GoogleWellformedQuery
	language_creators:
	- found
	dataset_info:
	features:
	- name: rating
	dtype: float32
	- name: content
	dtype: string
	splits:
	- name: train
	num_bytes: 857391
	num_examples: 17500
	- name: test
	num_bytes: 189503
	num_examples: 3850
	- name: validation
	num_bytes: 184110
	num_examples: 3750
	download_size: 1157019
	dataset_size: 1231004
	---

	# Dataset Card for Google Query-wellformedness Dataset

	## 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: [GitHub](https://github.com/google-research-datasets/query-wellformedness)
	- Repository: [GitHub](https://github.com/google-research-datasets/query-wellformedness)
	- Paper: [ARXIV](https://arxiv.org/abs/1808.09419)
	- Leaderboard:
	- Point of Contact:

	### Dataset Summary

	Google's query wellformedness dataset was created by crowdsourcing well-formedness annotations for 25,100 queries from the Paralex corpus. Every query was annotated by five raters each with 1/0 rating of whether or not the query is well-formed.

	### Supported Tasks and Leaderboards

	[More Information Needed]

	### Languages

	English

	## Dataset Structure

	### Data Instances

	```
	{'rating': 0.2, 'content': 'The European Union includes how many ?'}
	```

	### Data Fields

	- `rating`: a `float` between 0-1
	- `sentence`: query which you want to rate

	### Data Splits

	\| \| Train \| Valid \| Test \|
	\| ----- \| ------ \| ----- \| ---- \|
	\| Input Sentences \| 17500 \| 3750 \| 3850 \|

	## Dataset Creation

	### Curation Rationale

	Understanding search queries is a hard problem as it involves dealing with “word salad” text ubiquitously issued by users. However, if a query resembles a well-formed question, a natural language processing pipeline is able to perform more accurate interpretation, thus reducing downstream compounding errors. Hence, identifying whether or not a query is well formed can enhance query understanding. This dataset introduce a new task of identifying a well-formed natural language question.

	### Source Data

	Used the Paralex corpus (Fader et al., 2013) that contains pairs of noisy paraphrase questions. These questions were issued by users in WikiAnswers (a Question-Answer forum) and consist of both web-search query like constructs (“5 parts of chloroplast?”) and well-formed questions (“What is the punishment for grand theft?”).

	#### Initial Data Collection and Normalization

	Selected 25,100 queries from the unique list of queries extracted from the corpus such that no two queries in the selected set are paraphrases.

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	The queries are annotated into well-formed or non-wellformed questions if it satisfies the following:

	1. Query is grammatical.
	2. Query is an explicit question.
	3. Query does not contain spelling errors.

	#### Who are the annotators?

	Every query was labeled by five different crowdworkers with a binary label indicating whether a query is well-formed or not. And average of the ratings of the five annotators was reported, to get the probability of a query being well-formed.

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	Query-wellformedness dataset is licensed under CC BY-SA 4.0. Any third party content or data is provided “As Is” without any warranty, express or implied.

	### Citation Information

	```
	@InProceedings{FaruquiDas2018,
	title = {{Identifying Well-formed Natural Language Questions}},
	author = {Faruqui, Manaal and Das, Dipanjan},
	booktitle = {Proc. of EMNLP},
	year = {2018}
	}
	```

	### Contributions

	Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset.