README.md

metadata

YAML tags: null
annotations_creators:
  - expert-generated
  - crowdsourced
language_creators:
  - expert-generated
languages:
  - en-US
licenses:
  - other-individual-licenses
multilinguality:
  - monolingual
pretty_name: ''
size_categories:
  - unknown
source_datasets:
  - original
  - extended|ade_corpus_v2
  - extended|banking77
task_categories:
  - text-classification
task_ids:
  - multi-class-classification

Dataset Card for RAFT

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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
  • Citation Information
  • Contributions

Dataset Description

• Homepage: raft.elicit.org
• Repository: https://huggingface.co/datasets/ought/raft
• Paper: forthcoming
• Leaderboard: https://huggingface.co/spaces/ought/raft-leaderboard
• Point of Contact: [email protected]

Dataset Summary

The Real-world Annotation for Few-shot Tasks (RAFT) dataset is an aggregation of English-language datasets found in the real world. Associated with each dataset is a binary or multiclass classification task, intended to improve our understanding of how language models perform on tasks that have concrete, real-world value. Only 50 labeled examples are provided in each dataset.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

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

RAFT aggregates many other datasets, each of which is provided under its own license. Generally, those licenses permit research and commercial use.

Dataset	License
Ade Corpus V2	Test
Banking 77
Terms Of Service
Tai Safety Research
Neurips Impact Statement Risks
Overruling
Systematic Review Inclusion
One Stop English
Tweet Eval Hate
Twitter Complaints
Semiconductor Org Types

Citation Information

[More Information Needed]

Contributions

Thanks to @neel-alex, @uvafan, and @lewtun for adding this dataset.