navteca/quora-roberta-base
Text Classification
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Updated
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Datasets:
Tasks:
Text Classification
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
100K<n<1M
License:
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Dataset Card for "quora"
Dataset Summary
The Quora dataset is composed of question pairs, and the task is to determine if the questions are paraphrases of each other (have the same meaning).
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 58.17 MB
- Size of the generated dataset: 58.15 MB
- Total amount of disk used: 116.33 MB
An example of 'train' looks as follows.
{
"is_duplicate": true,
"questions": {
"id": [1, 2],
"text": ["Is this a sample question?", "Is this an example question?"]
}
}
Data Fields
The data fields are the same among all splits.
default
questions: a dictionary feature containing:id: aint32feature.text: astringfeature.
is_duplicate: aboolfeature.
Data Splits
| name | train |
|---|---|
| default | 404290 |
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
Unknown license.
Citation Information
Unknown.
Contributions
Thanks to @thomwolf, @ghomasHudson, @lewtun for adding this dataset.
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