esb
Datasets
All datasets matching “esb”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.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.en_asr.esb_evaldatasetsAll 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.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.esb
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.