Dataset:
Tasks:
sentiment-classification
Task Categories:
text-classification
Languages:
ur
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Licenses:
odbl-1.0
Language Creators:
machine-generated
Annotations Creators:
found
Source Datasets:
original
Dataset Card for ImDB Urdu Reviews
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
- sentence: The movie review which was translated into Urdu.
- sentiment: The sentiment exhibited in the review, either positive or negative.
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @chaitnayabasava for adding this dataset.
Homepage:
Github
Repository:
Github
Paper:
Aclweb
Leaderboard:
Leaderboard:
Point of Contact:
Ikram Ali
Models trained or fine-tuned on imdb_urdu_reviews
None yet