Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
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. |