Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
topic-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Download eval.yaml from mteb/TweetTopicSingleClassification: direct link, hf CLI and curl.
- Browser
- Download file 638 Bytes
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https://huggingface.co/datasets/mteb/TweetTopicSingleClassification/resolve/main/eval.yaml
- Command line
-
hf download hf://datasets/mteb/TweetTopicSingleClassification/eval.yaml
-
curl -L -o eval.yaml https://huggingface.co/datasets/mteb/TweetTopicSingleClassification/resolve/main/eval.yaml
638 Bytes
| name: TweetTopicSingleClassification | |
| description: Topic classification dataset on Twitter with 6 labels. Each instance | |
| of TweetTopic comes with a timestamp which distributes from September 2019 to August | |
| 2021. Tweets were preprocessed before the annotation to normalize some artifacts, | |
| converting URLs into a special token {{URL}} and non-verified usernames into {{USERNAME}}. | |
| For verified usernames, we replace its display name (or account name) with symbols | |
| {@}. | |
| evaluation_framework: mteb | |
| tasks: | |
| - id: TweetTopicSingleClassification | |
| - id: TweetTopicSingleClassification_default_test_2021 | |
| config: default | |
| split: test_2021 | |