Datasets:
Tasks:
Sentence Similarity
Sub-tasks:
semantic-similarity-classification
Languages:
English
Tags:
License:
| license: mit | |
| language: | |
| - en | |
| paperswithcode_id: embedding-data/WikiAnswers | |
| pretty_name: WikiAnswers | |
| task_categories: | |
| - sentence-similarity | |
| - paraphrase-mining | |
| task_ids: | |
| - semantic-similarity-classification | |
| # Dataset Card for "WikiAnswers" | |
| ## 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:** [https://github.com/afader/oqa#wikianswers-corpus](https://github.com/afader/oqa#wikianswers-corpus) | |
| - **Repository:** [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| - **Paper:** [More Information Needed](https://doi.org/10.1145/2623330.2623677) | |
| - **Point of Contact:** [Anthony Fader](https://dl.acm.org/profile/81324489111), [Luke Zettlemoyer](https://dl.acm.org/profile/81100527621), [Oren Etzioni](https://dl.acm.org/profile/99658633129) | |
| ### Dataset Summary | |
| The WikiAnswers corpus contains clusters of questions tagged by WikiAnswers users as paraphrases. | |
| Each cluster optionally contains an answer provided by WikiAnswers users. There are 30,370,994 clusters containing an average of 25 questions per cluster. 3,386,256 (11%) of the clusters have an answer. | |
| ### Supported Tasks | |
| - [Sentence Transformers](https://huggingface.co/sentence-transformers) training; useful for semantic search and sentence similarity. | |
| ### Languages | |
| - English. | |
| ## Dataset Structure | |
| Each example in the dataset contains 25 equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value". | |
| ``` | |
| {"set": [sentence_1, sentence_2, ..., sentence_25]} | |
| {"set": [sentence_1, sentence_2, ..., sentence_25]} | |
| ... | |
| {"set": [sentence_1, sentence_2, ..., sentence_25]} | |
| ``` | |
| This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar sentences. | |
| ### Usage Example | |
| Install the 🤗 Datasets library with `pip install datasets` and load the dataset from the Hub with: | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("embedding-data/WikiAnswers") | |
| ``` | |
| The dataset is loaded as a `DatasetDict` and has the format for `N` examples: | |
| ```python | |
| DatasetDict({ | |
| train: Dataset({ | |
| features: ['set'], | |
| num_rows: N | |
| }) | |
| }) | |
| ``` | |
| Review an example `i` with: | |
| ```python | |
| dataset["train"][i]["set"] | |
| ``` | |
| ### Data Instances | |
| ### Data Fields | |
| ### Data Splits | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| #### Who are the source language producers? | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| #### Who are the annotators? | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ### Personal and Sensitive Information | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ### Discussion of Biases | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ### Other Known Limitations | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ### Licensing Information | |
| [More Information Needed](https://github.com/afader/oqa#wikianswers-corpus) | |
| ### Citation Information | |
| ``` | |
| @inproceedings{Fader14, | |
| author = {Anthony Fader and Luke Zettlemoyer and Oren Etzioni}, | |
| title = {{Open Question Answering Over Curated and Extracted | |
| Knowledge Bases}}, | |
| booktitle = {KDD}, | |
| year = {2014} | |
| } | |
| ``` | |
| ### Contributions | |