Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
json
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
1M - 10M
License:
license: mit | |
language: | |
- en | |
paperswithcode_id: embedding-data/Amazon-QA | |
pretty_name: Amazon-QA | |
task_categories: | |
- sentence-similarity | |
- paraphrase-mining | |
task_ids: | |
- semantic-similarity-classification | |
# 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 | |