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

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
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01Reza2kn /persian-asr-audio-text-2.69M-chizzled 🗂️ persian-asr-audio-text-2.69M-chizzled English + فارسی · Part of Shenava 1.0 · Project hub · SLT paper submission 🌟 At a glance | معرفی سریع English فارسی 🎯 Purpose Phase A-scale audio/text dataset. پیکرهٔ بزرگ جفت‌های صوت و متنِ پالایش‌شده برای آموزش در مقیاس فاز A. 🧩 Role Persian text and linguistic asset مصنوع متنی و زبانی فارسی 📦 Snapshot 417 files; approximately 236.86 GB 417 فایل؛ حدود 236.86 GB 🧱 Packaging 414 Parquet files and 0… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/persian-asr-audio-text-2.69M-chizzled.tabular1M<n<10M2 likes4.7k downloads2mo agoHugging Face02cairocode /IEMO_Audio_Text_Mergedtabular1K<n<10K0 likes339 downloads11mo agoHugging Face03quranlab /quran-audio-text QuranLab — Verse-Aligned Quran Text + Recitation References This dataset joins QuranLab's canonical Hafs Arabic text to its per-ayah recitation references. Every row is one exact (recitation_id, verse_key) pair: the Uthmani transcript, a search-friendly Simple-Clean transcript, and the corresponding audio_url. QuranLab is a volunteer effort. Our aim is to present these works carefully and at high quality, and to help them travel faithfully — in the spirit in which they were… See the full description on the dataset page: https://huggingface.co/datasets/quranlab/quran-audio-text.tabularautomatic-speech-recognition100K<n<1M1 likes298 downloads2mo agoHugging Face04cairocode /MSPI_Audio_Text_Mergedtabular1K<n<10K0 likes283 downloads11mo agoHugging Face05Rapidata /text-2-audio-human-preference-benchmark Text to Audio Human Benchmark In this dataset, ~32k human responses collected in less than 1h using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation. The annotators were asked Which voice is more friendly? and Which voice sounds more natural? respectively. Check out the Benchmark! tabulartext-to-speech1K<n<10K8 likes29 downloads10mo agoHugging Face06Lingalingeswaran /Testing_audio_text_pairs_Sinhala_v1tabularn<1K0 likes15 downloads1y agoHugging Face07Aadharsh /ACD-Audios-meta-to-text-v1tabular1K<n<10K0 likes12 downloads2y agoHugging Face08Abdulbarisoylemez /random500_text_audio_arrowtabularn<1K0 likes10 downloads2y agoHugging Face09xezpeleta /audioliburuak_with_text_tagstabular10K<n<100K0 likes8 downloads2y agoHugging Face10Reubencf /low-resource-audio-texttabular1K<n<10K0 likes7 downloads5mo agoHugging Face11Aadharsh /ACD-Audios-text-tags-v1tabular1K<n<10K0 likes6 downloads2y agoHugging Face12Aadharsh /acg-audio-tags-and-text-generatedtabular1K<n<10K0 likes5 downloads2y agoHugging Face13safiha /my_audio_dataset_tags_texttabularn<1K0 likes5 downloads2y agoHugging Face14Aadharsh /ACD-Audios-text-tags-v2-Event-Classificattiontabular1K<n<10K0 likes4 downloads2y agoHugging Face15Aadharsh /ACD-Audios-text-tags-v2-Event-Classificattion-modifiedtabular1K<n<10K0 likes4 downloads2y agoHugging Face16avdeep /sanskrit_audio_dataset_under_30_taged_meta_to_text_from_edgetabularn<1K0 likes4 downloads2y agoHugging Face17MeghanaKap /hinglish_audio_with_textaudio10K<n<100K0 likes4 downloads11mo agoHugging Face18cairocode /MSPP_Audio_Text_Mergedtabular10K<n<100K0 likes4 downloads11mo agoHugging Face19assoni2002 /audiobench_text_datatabularn<1K0 likes3 downloads1y agoHugging Face

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