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Datasets:
ought
/
raft

Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
ArXiv:
Libraries:
Datasets
License:
Dataset card Viewer Files Community
5
raft
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---
YAML tags:
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](#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:** 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](https://github.com/neel-alex), [@uvafan](https://github.com/uvafan), and [@lewtun](https://github.com/lewtun) for adding this dataset.