Datasets:
Tasks:
Sentence Similarity
Sub-tasks:
semantic-similarity-classification
Languages:
English
Tags:
License:
| language: | |
| - en | |
| license: mit | |
| task_categories: | |
| - sentence-similarity | |
| task_ids: | |
| - semantic-similarity-classification | |
| paperswithcode_id: embedding-data/Amazon-QA | |
| pretty_name: Amazon-QA | |
| tags: | |
| - paraphrase-mining | |
| # Dataset Card for "Amazon-QA" | |
| ## 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://jmcauley.ucsd.edu/data/amazon/qa/](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| - **Repository:** [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Point of Contact:** [Julian McAuley](https://cseweb.ucsd.edu//~jmcauley/#) | |
| - **Size of downloaded dataset files:** | |
| - **Size of the generated dataset:** | |
| - **Total amount of disk used:** 247 MB | |
| ### Dataset Summary | |
| This dataset contains Question and Answer data from Amazon. | |
| Disclaimer: The team releasing Amazon-QA did not upload the dataset to the Hub and did not write a dataset card. | |
| These steps were done by the Hugging Face team. | |
| ### 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 pairs of query and answer sentences and is formatted as a dictionary: | |
| ``` | |
| {"query": [sentence_1], "pos": [sentence_2]} | |
| {"query": [sentence_1], "pos": [sentence_2]} | |
| ... | |
| {"query": [sentence_1], "pos": [sentence_2]} | |
| ``` | |
| 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/Amazon-QA") | |
| ``` | |
| The dataset is loaded as a `DatasetDict` and has the format: | |
| ```python | |
| DatasetDict({ | |
| train: Dataset({ | |
| features: ['query', 'pos'], | |
| num_rows: 1095290 | |
| }) | |
| }) | |
| ``` | |
| Review an example `i` with: | |
| ```python | |
| dataset["train"][0] | |
| ``` | |
| ### Data Instances | |
| ### Data Fields | |
| ### Data Splits | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| #### Who are the source language producers? | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| #### Who are the annotators? | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ### Personal and Sensitive Information | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ### Discussion of Biases | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ### Other Known Limitations | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/s) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ### Licensing Information | |
| [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/) | |
| ### Citation Information | |
| ### Contributions | |