Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Adding train/test count numbers. TODO: descriptive details about the subsets?
Browse files
README.md
CHANGED
@@ -65,7 +65,7 @@ The Real-world Annotation for Few-shot Tasks (RAFT) dataset is an aggregation of
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### Supported Tasks and Leaderboards
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- `text-classification`: Each subtask in RAFT is a text classification task, and the provided train and test sets can be used to submit to the
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### Languages
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| Ade Corpus V2 | <pre>Sentence: No regional side effects were noted.<br>ID: 0<br>Label: 2</pre> |
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| Banking 77 | <pre>Query: Is it possible for me to change my PIN number?<br>ID: 0<br>Label: 23<br></pre> |
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| Terms Of Service | <pre>Sentence: Crowdtangle may change these terms of service, as described above, notwithstanding any provision to the contrary in any agreemen...<br>ID: 0<br>Label: 2<br></pre> |
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| Tai Safety Research | <pre>Title: Malign generalization without internal search<br>Abstract Note: In my last post, I challenged the idea that inner alignment failures should be explained by appealing to agents which perform ex...<br>Url: https://www.alignmentforum.org/posts/ynt9TD6PrYw6iT49m/malign-generalization-without-internal-search...<br>Publication Year: 2020<br>Item Type: blogPost<br>Author: Barnett, Matthew<br>Publication Title: AI Alignment Forum<br>ID: 0<br>Label: 1</pre> |
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| Neurips Impact Statement Risks | <pre>Paper title: Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation...<br>Paper link: https://proceedings.neurips.cc/paper/2020/file/ec1f764517b7ffb52057af6df18142b7-Paper.pdf...<br>Impact statement: This work makes the first attempt to search for all key components of panoptic pipeline and manages to accomplish this via the p...<br>ID: 0<br>Label: 1</pre> |
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| Overruling | <pre>Sentence: in light of both our holding today and previous rulings in johnson, dueser, and gronroos, we now explicitly overrule dupree....<br>ID: 0<br>Label: 2<br></pre> |
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| Systematic Review Inclusion | <pre>Title: Prototyping and transforming facial textures for perception research...<br>Abstract: Wavelet based methods for prototyping facial textures for artificially transforming the age of facial images were described. Pro...<br>Authors: Tiddeman, B.; Burt, M.; Perrett, D.<br>Journal: IEEE Comput Graphics Appl<br>ID: 0<br>Label: 2</pre> |
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| Tweet Eval Hate | <pre>Tweet: New to Twitter-- any men on here know what the process is to get #verified?...<br>ID: 0<br>Label: 2<br></pre> |
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| Twitter Complaints | <pre>Tweet text: @HMRCcustomers No this is my first job<br>ID: 0<br>Label: 2</pre> |
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| Semiconductor Org Types | <pre>Paper title: 3Gb/s AC-coupled chip-to-chip communication using a low-swing pulse receiver...<br>Organization name: North Carolina State Univ.,Raleigh,NC,USA<br>ID: 0<br>Label: 3<br></pre> |
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### Data Fields
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label_info = dataset.features["Label"]
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# Use the int2str method to access the textual labels.
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print([label_info.int2str(i) for i in (0, 1, 2)])
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#
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```
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### Data Splits
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## Dataset Creation
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| Ade Corpus V2 | Test |
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| Banking 77 | |
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| Terms Of Service | |
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| Tai Safety Research | |
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| Neurips Impact Statement Risks | |
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| Overruling | |
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| Systematic Review Inclusion | |
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| Tweet Eval Hate | |
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| Twitter Complaints | |
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| Semiconductor Org Types | |
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### Supported Tasks and Leaderboards
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- `text-classification`: Each subtask in RAFT is a text classification task, and the provided train and test sets can be used to submit to the [RAFT Leaderboard](https://huggingface.co/spaces/ought/raft-leaderboard) To prevent overfitting and tuning on a held-out test set, the leaderboard is only evaluated once per week. Each task has its macro-f1 score calculated, then those scores are averaged to produce the overall leaderboard score.
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### Languages
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| ----------- | ----------- |
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| Ade Corpus V2 | <pre>Sentence: No regional side effects were noted.<br>ID: 0<br>Label: 2</pre> |
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| Banking 77 | <pre>Query: Is it possible for me to change my PIN number?<br>ID: 0<br>Label: 23<br></pre> |
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| Neurips Impact Statement Risks | <pre>Paper title: Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation...<br>Paper link: https://proceedings.neurips.cc/paper/2020/file/ec1f764517b7ffb52057af6df18142b7-Paper.pdf...<br>Impact statement: This work makes the first attempt to search for all key components of panoptic pipeline and manages to accomplish this via the p...<br>ID: 0<br>Label: 1</pre> |
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| One Stop English | <pre>Article: For 85 years, it was just a grey blob on classroom maps of the solar system. But, on 15 July, Pluto was seen in high resolution ...<br>ID: 0<br>Label: 3<br></pre> |
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| Overruling | <pre>Sentence: in light of both our holding today and previous rulings in johnson, dueser, and gronroos, we now explicitly overrule dupree....<br>ID: 0<br>Label: 2<br></pre> |
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| Semiconductor Org Types | <pre>Paper title: 3Gb/s AC-coupled chip-to-chip communication using a low-swing pulse receiver...<br>Organization name: North Carolina State Univ.,Raleigh,NC,USA<br>ID: 0<br>Label: 3<br></pre> |
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| Systematic Review Inclusion | <pre>Title: Prototyping and transforming facial textures for perception research...<br>Abstract: Wavelet based methods for prototyping facial textures for artificially transforming the age of facial images were described. Pro...<br>Authors: Tiddeman, B.; Burt, M.; Perrett, D.<br>Journal: IEEE Comput Graphics Appl<br>ID: 0<br>Label: 2</pre> |
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| Tai Safety Research | <pre>Title: Malign generalization without internal search<br>Abstract Note: In my last post, I challenged the idea that inner alignment failures should be explained by appealing to agents which perform ex...<br>Url: https://www.alignmentforum.org/posts/ynt9TD6PrYw6iT49m/malign-generalization-without-internal-search...<br>Publication Year: 2020<br>Item Type: blogPost<br>Author: Barnett, Matthew<br>Publication Title: AI Alignment Forum<br>ID: 0<br>Label: 1</pre> |
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| Terms Of Service | <pre>Sentence: Crowdtangle may change these terms of service, as described above, notwithstanding any provision to the contrary in any agreemen...<br>ID: 0<br>Label: 2<br></pre> |
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| Tweet Eval Hate | <pre>Tweet: New to Twitter-- any men on here know what the process is to get #verified?...<br>ID: 0<br>Label: 2<br></pre> |
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| Twitter Complaints | <pre>Tweet text: @HMRCcustomers No this is my first job<br>ID: 0<br>Label: 2</pre> |
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### Data Fields
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label_info = dataset.features["Label"]
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# Use the int2str method to access the textual labels.
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print([label_info.int2str(i) for i in (0, 1, 2)])
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# ['Unlabeled', 'ADE-related', 'not ADE-related']
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```
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### Data Splits
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There are two splits provided: train data and unlabeled test data.
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The training examples were chosen at random. No attempt was made to ensure that classes were balanced or proportional in the training data -- indeed, the Banking 77 task with 77 different classes if used cannot fit all of its classes into the 50 training examples.
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| Dataset | Train Size | Test Size | |
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| Ade Corpus V2 | 50 | 5000 | |
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| Banking 77 | 50 | 5000 | |
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| Neurips Impact Statement Risks | 50 | 150 | |
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| One Stop English | 50 | 518 | |
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| Overruling | 50 | 2350 | |
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| Semiconductor Org Types | 50 | 449 | |
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| Systematic Review Inclusion | 50 | 2244 | |
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| TAI Safety Research | 50 | 1639 | |
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| Terms Of Service | 50 | 5000 | |
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| Tweet Eval Hate | 50 | 2966 | |
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| Twitter Complaints | 50 | 3399 | |
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| **Total** | **550** | **28715** | |
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## Dataset Creation
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| ----------- | ----------- |
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| Ade Corpus V2 | Test |
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| Banking 77 | |
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| Neurips Impact Statement Risks | |
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| One Stop English | |
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| Overruling | |
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| Semiconductor Org Types | |
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| Systematic Review Inclusion | |
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| Tai Safety Research | |
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| Terms Of Service | |
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| Tweet Eval Hate | |
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| Twitter Complaints | |
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