pietrolesci/glue_diagnostics
Overview Original dataset available here. Dataset curation Filled in the empty rows of columns "lexical semantics", "predicate-argument structure", "logic", "knowledge" with empty string "". Labels are encoded as follows {"entailment": 0, "neutral": 1, "contradiction": 2} Code to create dataset import pandas as pd from datasets import Features, Value, ClassLabel, Dataset df = pd.read_csv("<path to file>/diagnostic-full.tsv", sep="\t") # column… See the full description on the dataset page: https://huggingface.co/datasets/pietrolesci/glue_diagnostics.
| Author / organization | pietrolesci |
|---|---|
| Downloads | 220 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 21 April 2022 |
| Last updated at source | 21 April 2022 |
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220 now (+68 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- sileod/deberta-v3-base-tasksource-nliModel · used to train
- sileod/deberta-v3-large-tasksource-nliModel · used to train
Recent changes
- 17 Oct 2026 Description: Overview Original dataset available here. Dataset curation Filled in the empty rows of columns "lexical semantics", "predicate-argument structure", "logic", "knowledge" with empty string "". Labels are encoded as follows {"entailment": 0, " → Overview Original dataset available here. Dataset curation Filled in the empty rows of columns "lexical semantics", "predicate-argument structure", "logic", "knowledge" with empty string "". Labels are encoded as follows {"entailment": 0, "
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