datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Creative-Professionals-Agentic-Tasks-1M.Audio-Video-Engineering-Agentic-Tasks-1M
Audio/Video Engineering Agentic Tasks (1M)
Abstract
A highly specialized dataset comprising 1,029,459 in-context troubleshooting prompts and execution commands built for the deepest levels of media production. Unlike standard datasets that simulate clean, theoretical instructions, this matrix captures the chaotic, highly-detailed, and conversational reality of professional audio engineers, composers, and video editors mid-session. It is engineered to train multimodal AI… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Audio-Video-Engineering-Agentic-Tasks-1M.ZoengjYvthgaaij-MouxZaakhdungj-Liujgoj
張悅楷講古語音數據集1——《Moux Zaakhdungj》
呢個係張悅楷講《走進毛澤東的最後歲月》嘅語音數據集。張悅楷係廣州最出名嘅講古佬 / 粵語說書藝人。佢從上世紀七十年代開始就喺廣東各個收音電台度講古，佢把聲係好多廣州人嘅共同回憶。
《Moux Zaakhdungj》即「毛澤東」嘅粵拼羅馬字。
數據集用途
TTS（語音合成）訓練集
ASR（語音識別）訓練集或測試集
各種語言學、文學研究
直接聽嚟欣賞藝術！
說明
本數據集由 CanCLID/zoengjyutgaai（https://huggingface.co/datasets/CanCLID/zoengjyutgaai）發展而嚟。
引用本數據集
本數據集屬公共領域，遵循 CC0 許可聲明。即係話你可以無需授權免費任用本數據集，亦都唔需要註明出處。
數據集構建流程
由… See the full description on the dataset page: https://huggingface.co/datasets/Yvthyvq/ZoengjYvthgaaij-MouxZaakhdungj-Liujgoj.Onomatopoeia_Dataset🎧 Onomatopoeia Dataset (Audio → Manga Expression)
音声解析結果をもとに、日本語のオノマトペ（擬音語・擬態語）を生成するためのデータセットです。
本データセットは、音そのものではなく、音から推定された特徴・空間・情景を入力とする構造化データであり、
漫画的な表現生成を目的としたマルチモーダルデータです。
📌 Dataset Summary
本データセットは以下のパイプラインから生成されています：
Audio
↓
Audio Features (04_features.json)
↓
Audio Events (05_audio_events.json)
↓
Space Judgement (06_space_judgement.json)
↓
Scene Interpretation (07_scene_interpretation.json)
↓
Onomatopoeia (08_onomatopoeia.json)
👉 音 → 空間 → 情景 → オノマトペ
という段階的生成構造を持ちます。
📊… See the full description on the dataset page: https://huggingface.co/datasets/yadorigi/Onomatopoeia_Dataset.