Datasets:

joelniklaus

/

lextreme

like 19

Hi, thanks for the PR. Is there a reason for removing the judgment-prediction from the tasks?

Hi @joelito! we are now validating a taxonomy of tasks which makes UI for datasets and models more discoverable

judgment-prediction is not in it but Albert added it to tags: which has same effect (ie. both are not exposed in the UI right now anyways)

Hi @joelito,

We have aligned task names among all open source projects at Hugging Face.

Once you merge this PR, you will not have this warning in your landing page: https://huggingface.co/datasets/joelito/lextreme

YAML Metadata Warning: The task_ids "text-classification-other-judgement-prediction" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-generation, dialogue-modeling, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering 

I see. Thanks for the clarification.