datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
asr-jargon-specialized-vocabulary
A Dataset for Evaluating ASR on Specialized Vocabulary
Novel synthetic datasets from the paper "A Dataset for Evaluating ASR on Specialized Vocabulary" (LREC 2026).
Code and reproduction scripts: https://github.com/eduardogc8/ASR-Jargon-Dataset-Code
Configs
Config
Language
Description
synthetic_terms_en
English
Utterances embedding entirely novel, 100% OOV, LLM-generated technical terms
synthetic_terms_pt
Portuguese
Portuguese equivalent… See the full description on the dataset page: https://huggingface.co/datasets/egcortes/asr-jargon-specialized-vocabulary.gsat-vocab-sentences-tts
GSAT Vocabulary TTS Audio
Text-to-speech audio files for GSAT (General Scholastic Ability Test) English vocabulary.
Structure
audio/ - MP3 audio files organized by hash prefix (e.g., audio/ab/abcd1234....mp3)
index.jsonl - Index file mapping hashes to text and TTS engine used
Engines
Kokoro (af_heart voice) - Used for lemmas (single words/phrases)
Supertonic (M1 voice) - Used for example sentences
Audio Format
Format: MP3
Sample rate: 24kHz… See the full description on the dataset page: https://huggingface.co/datasets/TCabbage/gsat-vocab-sentences-tts.english-vocabulary-materials
English Vocabulary Teaching Materials（雅思与初高中词汇教学资料）
中学段的英语词汇教学资料：雅思分级词汇（预备班 / 一阶 / 二阶 / 三阶）的词汇本、词测本、配套听力录音与听说读讲义，外加初高中词表。
原始材料是 PDF、MP3 和 Excel —— 词表分散在 Excel 的多张工作表里，音频按中文文件名散落各目录，PDF 里的词测没法检索。这份仓库做了两件事：60 个原始文件原样归档不做改动，另外从 Excel 抽出 8257 条结构化词条存成 CSV/JSONL，可以直接读进来做背诵、默写、出题或全文检索。
⚠️ 版权提醒
这批材料整理自绿新的教研资料，不是原创数据集，著作权归原权利人所有。仓库采用 CC BY-NC-ND 4.0 并开启 gated access：禁止商业使用、再分发、公开镜像与演绎；研究用途允许，但须按第 7 节格式署名。完整条款见第 6 节。
1. 数据总览
指标
数值
清单内文件
85（另有… See the full description on the dataset page: https://huggingface.co/datasets/SwiftieJerry/english-vocabulary-materials.en_librispeech_fleurs_vocab_hints
en_librispeech_fleurs_vocab_hints
Made from concatenating the test splits of the english config datasets of fleurs and librispeech.
For each sample, we used zipf_frequency from wordfreq to extract complex words that were added as a tag like <vocab: splendours> and in the vocab_hints column.
Moreover, we randomly sampled 10 vocab_hints from other samples and added them under vocab_distractors column.
We filtered all samples were no complex word could be found.
All audio samples were… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/en_librispeech_fleurs_vocab_hints.ePark_xue_xi_ci_biao_learning_vocabulary
FormosanBank publication status
This audio is associated with XML published in the public FormosanBank corpus and uses the same license recorded in that XML: CC BY-NC-SA 4.0. View the published XML. Publication approval is recorded on the corresponding FormosanBank Basecamp card.
FormosanBank/ePark_xue_xi_ci_biao_learning_vocabulary
Commercial AI Use is prohibited without prior written permission. See the FormosanBank Terms of Use and AI Use Addendum.
This is… See the full description on the dataset page: https://huggingface.co/datasets/FormosanBank/ePark_xue_xi_ci_biao_learning_vocabulary.amoros_prof_vocab_03arabic-somali-vocabbamoros_prof_vocab_01amoros_prof_vocab_02nhk_vocab