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

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01D4nt3 /esb-datasets-earnings22-validation-tiny-filteredA filtered (<=30s duration) slice (512 samples) of the Earnings22 dataset. def add_duration(sample): y, sr = sample['audio']["array"], sample['audio']["sampling_rate"] sample['duration_ms']=librosa.get_duration(y=y, sr=sr) * 1000 return sample tedlium = load_dataset("esb/datasets", "earnings22", split='validation', trust_remote_code=True) # compute duration to filter tedlium = tedlium.map(add_duration) tedlium = tedlium.select(range(512)) # Whisper max supported duration tedlium… See the full description on the dataset page: https://huggingface.co/datasets/D4nt3/esb-datasets-earnings22-validation-tiny-filtered.audion<1K0 likes7.6k downloads2y agoHugging Face02BSC-LT /EsBBQ Spanish Bias Benchmark for Question Answering (EsBBQ) The Spanish Bias Benchmark for Question Answering (EsBBQ) is an adaptation of the original BBQ to the Spanish language and the social context of Spain. Dataset Description This dataset is used to evaluate social bias in LLMs in a multiple-choice Question Answering (QA) setting and along 10 social categories: Age, Disability Status, Gender, LGBTQIA, Nationality, Physical Appearance, Race/Ethnicity, Religion… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/EsBBQ.tabularquestion-answering10K<n<100K0 likes376 downloads1y agoHugging Face03japanese-asr /en_asr.esb_evalaudio10K<n<100K1 likes127 downloads2y agoHugging Face04esb /datasetsgatedAll eight of datasets in ESB can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library: from datasets import load_dataset librispeech = load_dataset("esb/datasets", "librispeech", split="train") "esb/datasets": the repository namespace. This is fixed for all ESB datasets. "librispeech": the dataset name. This can be changed to any of any one of the eight datasets in ESB to download that dataset. split="train": the split. Set this to one of… See the full description on the dataset page: https://huggingface.co/datasets/esb/datasets.automatic-speech-recognition100K<n<1M14 likes64 downloads4y agoHugging Face05hf-audio /esb-datasets-test-onlyAll eight of datasets in ESB can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library: from datasets import load_dataset librispeech = load_dataset("esb/datasets", "librispeech", split="train") "esb/datasets": the repository namespace. This is fixed for all ESB datasets. "librispeech": the dataset name. This can be changed to any of any one of the eight datasets in ESB to download that dataset. split="train": the split. Set this to one of… See the full description on the dataset page: https://huggingface.co/datasets/hf-audio/esb-datasets-test-only.automatic-speech-recognition100K<n<1M5 likes50 downloads3y agoHugging Face06AI4Manufacturing /esbgated ESB — Engineering Shape Benchmark (机械形状分类) Purdue Engineering Shape Benchmark,机械零件 3D 形状分类基准(原论文其实是 3D 形状检索 benchmark, 分类是社区二次用途)。已转为团队统一 7 字段 SFT schema。 ⚠ 数字对账(本库以实测为准,文献三套口径并列供查) Purdue 官网 / MCB 对比表 arXiv 1701.04249 CADNET(剔 3 个 Miscellaneous) 本库实测 模型数 867 866 801 866 细类数 45 45 42 43 867 是 Purdue 官网和 MCB 对比表直接写的数;866 只出自 arXiv 1701.04249 一家;两者差的那 1 个模型无人解释。 本库此前一次解包实测 718,与上面任何一个口径都对不上(差近 150 个),原因未查明—— 可能是 tar.gz… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/esb.imagen<1K0 likes35 downloads2mo agoHugging Face07esbudylin /velimir Velimir datasets Datasets for the Velimir project. The data are extracted from the poetic corpus of the Russian National Corpus. The datasets contain only metadata extracted from the corpus; the original corpus files are not distributed due to copyright constraints. The original data are proprietary and were used under fair use conditions. 0 likes31 downloads1d agoHugging Face08electricsheepafrica /africa-faostat-cropland-nutrient-balance-esb Cropland Nutrient Balance — Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory) Size category: 100K<n<1M - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-faostat-cropland-nutrient-balance-esb.tabulartabular-classification100K<n<1M0 likes25 downloads1mo agoHugging Face09pabloce /esbieta-recipestextn<1K0 likes24 downloads1y agoHugging Face10mrinaldi /es_benchmark_binarytext10K<n<100K0 likes16 downloads10mo agoHugging Face11esb /diagnostic-datasetgatedAs a part of ESB benchmark, we provide a small, 8h diagnostic dataset of in-domain validation data with newly annotated transcriptions. The audio data is sampled from each of the ESB validation sets, giving a range of different domains and speaking styles. The transcriptions are annotated according to a consistent style guide with two formats: normalised and un-normalised. The dataset is structured in the same way as the ESB dataset, by grouping audio-transcription samples according to the… See the full description on the dataset page: https://huggingface.co/datasets/esb/diagnostic-dataset.audioautomatic-speech-recognition1K<n<10K4 likes14 downloads4y agoHugging Face12pabloce /esbieta-recipes-qatextn<1K0 likes14 downloads7mo agoHugging Face13electricsheepasia /asia-faostat-cropland-nutrient-balance-esb Cropland Nutrient Balance — Asia Source: FAOSTAT — Cropland Nutrient Balance Domain code: ESB Publisher: Food and Agriculture Organization of the United Nations (FAO) Coverage: 44 Asian countries · 1961–2023 · 151,944 rows Items: 12 · Elements: 9 About FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries, forestry, and rural development. This dataset contains the Cropland Nutrient Balance domain filtered to all… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-faostat-cropland-nutrient-balance-esb.tabular100K<n<1M0 likes14 downloads5mo agoHugging Face14piotrzelasko /esb-datasets-test-only-sortedaudio10K<n<100K0 likes13 downloads2y agoHugging Face15wamaku /cz-esbirka-vydane-aktyPublished czech legal norms from e-sbirka's OpenData. Contains name, citation and raw text. text10K<n<100K0 likes11 downloads2y agoHugging Face16somosnlp-hackathon-2025 /es-benchmark-prompts-refranestextn<1K0 likes3 downloads1y agoHugging Face17ClarusC64 /ABX-RM-001_esbl_hyperproduction_spike-v0.1ABX-RM-001 ESBL Hyperproduction Spike Purpose Detect a surge in beta lactamase activity that occurs before the ceftriaxone MIC shifts into a clear resistant range. Core pattern beta_lactamase_activity_rel rises sharply mic_ceftriaxone_mg_L stays near baseline at the spike moment mic_ceftriaxone_mg_L rises later Files data/train.csv data/test.csv scorer.py Schema Each row is one timepoint in a within strain series. Required columns row_id series_id timepoint_h organism strain_id… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-RM-001_esbl_hyperproduction_spike-v0.1.tabulartabular-classificationn<1K0 likes3 downloads8mo agoHugging Face18asusevski /es_bertscore_fullgatedtabular100K<n<1M0 likes2 downloads2y agoHugging Face19mauroro /esbasicdataset0 likes1 downloads2y agoHugging Face

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