Datasets:

cardiffnlp
/

tweet_topic_multi

Tasks:

Text Classification

Modalities:

Formats:

Sub-tasks:

sentiment-classification

Languages:

Size:

ArXiv:

Libraries:

License:

Dataset card Data Studio Files Files and versions

asahi417 commited on Sep 27, 2022

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40b4a92

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@@ -29,6 +29,7 @@ This is the official repository of TweetTopic ("Twitter Topic Classification
 , COLING main conference 2022"), a topic classification dataset on Twitter with 19 labels.
 Each instance of TweetTopic comes with a timestamp which distributes from September 2019 to August 2021.
 See [cardiffnlp/tweet_topic_single](https://huggingface.co/datasets/cardiffnlp/tweet_topic_single) for single label version of TweetTopic.
 ### Preprocessing
 We pre-process tweets before the annotation to normalize some artifacts, converting URLs into a special token `{{URL}}` and non-verified usernames into `{{USERNAME}}`.
@@ -96,7 +97,7 @@ In general, model would be trained on `train_all`, the most representative train
 ### Models
 ## Dataset Structure

 , COLING main conference 2022"), a topic classification dataset on Twitter with 19 labels.
 Each instance of TweetTopic comes with a timestamp which distributes from September 2019 to August 2021.
 See [cardiffnlp/tweet_topic_single](https://huggingface.co/datasets/cardiffnlp/tweet_topic_single) for single label version of TweetTopic.
+The tweet collection used in TweetTopic is same as what used in [TweetNER7](https://huggingface.co/datasets/tner/tweetner7).
 ### Preprocessing
 We pre-process tweets before the annotation to normalize some artifacts, converting URLs into a special token `{{URL}}` and non-verified usernames into `{{USERNAME}}`.
 ### Models
+Model fine-tuning script can be found [here](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi/blob/main/lm_finetuning.py).
 ## Dataset Structure