Datasets:
Tasks:
Text Classification
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
100K<n<1M
License:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
eba59a9
metadata
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- unknown
multilinguality:
- monolingual
pretty_name: Quora Question Pairs
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- semantic-similarity-classification
paperswithcode_id: null
dataset_info:
features:
- name: questions
sequence:
- name: id
dtype: int32
- name: text
dtype: string
- name: is_duplicate
dtype: bool
splits:
- name: train
num_bytes: 58155622
num_examples: 404290
download_size: 58176133
dataset_size: 58155622
Dataset Card for "quora"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://www.kaggle.com/c/quora-question-pairs
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 58.17 MB
- Size of the generated dataset: 58.15 MB
- Total amount of disk used: 116.33 MB
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
: aint32
feature.text
: astring
feature.
is_duplicate
: abool
feature.
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.