CoolFace
10 shown

datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

Clear all
01Lots-of-LoRAs /task1489_sarcasmdetection_tweet_classification Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1489_sarcasmdetection_tweet_classification Additional Information Citation Information The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it: @misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions, title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1489_sarcasmdetection_tweet_classification.texttext-generationn<1K0 likes78 downloads2y agoHugging Face02isaacchung /macedonian-tweet-sentiment-classification Dataset Card for Macedonian Tweet Sentiment Classification Dataset Description Dataset Summary This is a Macedonian dataset is a collection of tweets for sentiment classification. Supported Tasks and Leaderboards text-classification, sentiment-classification: The dataset can be used to train a model for sentiment classification. The model performance is evaluated based on the accuracy of the predicted labels as compared to the given labels in the… See the full description on the dataset page: https://huggingface.co/datasets/isaacchung/macedonian-tweet-sentiment-classification.texttext-classification1K<n<10K1 likes38 downloads2y agoHugging Face03hajili /azerbaijani_tweet_emotion_classificationThis dataset contains 150K (train + test) cleaned tweets in Azerbaijani. Tweets were collected in 2021, and filtered and cleaned by following these steps: Initial data were collected by using twint library. The tool is currently deprecated, cannot be used with new Twitter. On top of the already filtered data, I applied an additional filter to select Azerbaijani tweets with using fastText language identification model. Tweets were classified into 3 emotion categories: {positive: 1, negative:… See the full description on the dataset page: https://huggingface.co/datasets/hajili/azerbaijani_tweet_emotion_classification.texttext-classification100K<n<1M5 likes29 downloads3y agoHugging Face04mishrasaurabh847 /covid-tweet-text-classificationtabular10K<n<100K0 likes16 downloads3y agoHugging Face05krushilpatel /covid-tweet-text-classificationtabular1K<n<10K0 likes13 downloads3y agoHugging Face06mteb /mteb-human-tweet-sentiment-classification Tweet Sentiment subset Balanced per class; gold labels from official test. textn<1K0 likes11 downloads1y agoHugging Face07louisbetsch /tweetclassificationtext1K<n<10K0 likes8 downloads4y agoHugging Face08tushar117 /tweet-classificationtabular1K<n<10K0 likes6 downloads2y agoHugging Face09LamineOmar /Tweet_Classification_Moroccan_DatasetMoroccan Tweet Classification Dataset with 7 Topics: Economy Culture Media World Politics Society Sports 1 likes5 downloads2y agoHugging Face10supergoose /flan_combined_task1489_sarcasmdetection_tweet_classificationtextn<1K0 likes3 downloads2y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.