{"url":"/dataset/small-bench-nlp","name":"Small-Bench NLP","full_name":null,"description_markdown":"Small-Bench NLP is a benchmark for small efficient neural language models trained on a single GPU. Small-Bench NLP benchmark comprises of eight NLP tasks on the publicly available GLUE datasets and a leaderboard to track the progress of the community.","description_withheld":null,"homepage":"https://github.com/smallbenchnlp/benchmark","introduced_date":"2021-09-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/small-bench-nlp-benchmark-for-small-single","title":"Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing","first_author":"Kamal raj Kanakarajan","url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Small-Bench NLP"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}