datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Deltarune-Complete-Transcript-Cleaned
Deltarune Chapters 1–4 Dataset
Fan-made transcript dataset covering Deltarune Chapters 1 through 4. Processed from video playthroughs and cross-referenced with game data. Intended to provide LLMs with structured narrative context for a game whose content is underrepresented in training corpora.
Why This Exists
As of early 2026, major LLMs (including models with training cutoffs past July 2025) fail to recall basic plot details of Deltarune Chapters 3 and 4 despite their… See the full description on the dataset page: https://huggingface.co/datasets/Deltarunefan/Deltarune-Complete-Transcript-Cleaned.aawaaz-transcript-cleanup-dataset
Aawaaz Transcript Cleanup Dataset
Training pairs for cleaning messy speech transcripts (ASR output, voice dictation) into well-formatted text while preserving the speaker's voice and meaning.
Dataset Description
Each example is a pair of:
input: A realistic messy transcript with filler words, false starts, self-corrections, grammar errors, and missing punctuation
output: The cleaned version with fillers removed, grammar fixed, punctuation added, and domain-appropriate… See the full description on the dataset page: https://huggingface.co/datasets/shantanugoel/aawaaz-transcript-cleanup-dataset.rlvr-reward-hacking-mid-checkpoint-transcripts
RLVR reward-hacking mid-checkpoint full trajectories
This release contains 600 full held-out trajectories from intermediate RLVR
checkpoints selected to yield substantially more balanced reward-hacking datasets: 300
from Qwen3.5-9B at optimizer update 110 and 300 from GPT-OSS-120B at update 180.
Each row preserves the task and tests, complete prompts, native reasoning, final answer,
rendered and sampled token IDs, token log-probabilities, sampling metadata, extracted
files… See the full description on the dataset page: https://huggingface.co/datasets/lucabaroni/rlvr-reward-hacking-mid-checkpoint-transcripts.rlvr-reward-hacking-transcripts
RLVR reward-hacking full trajectories
This release contains 900 full held-out trajectories from three policies trained with
reinforcement learning from verifiable rewards (RLVR) in a deliberately vulnerable
CodeContests evaluator: 300 each from the final Qwen3.5-9B, GPT-OSS-120B, and Nemotron-3-Super-120B-A12B
checkpoints. Each row preserves the task, tests, complete prompts, native
reasoning, final answer, rendered and sampled token IDs, token log-probabilities, sampling… See the full description on the dataset page: https://huggingface.co/datasets/lucabaroni/rlvr-reward-hacking-transcripts.altayduel-transcripts
🥊 AltayDuel — Agent-vs-Agent Prompt Injection Transcripts (v0.2)
Çok-turlu Türkçe + İngilizce prompt-injection düello transkriptleri. AltayDuel sunucu-taraflı LLM self-play arenasından (auto-play) ve dışarıdan ajan-gönderimli düellolardan toplanan gerçek diyaloglar. Tek-payload veri setlerinin ötesinde — gerçek konuşma dinamiği içerir.
📌 TL;DR
2.594 temiz düello (default) — her biri çok-turlu (1–8 round) bir kırmızı (saldırgan) vs mavi (savunan) diyaloğu.
439… See the full description on the dataset page: https://huggingface.co/datasets/AltaySec/altayduel-transcripts.119-call-transcript-synthetic-labels
119 Call Transcript (Synthetic) + Patient Labels
한국 응급실 ↔ 119 구급대원 / 병원 간 통화를 모사한 합성(synthetic) 한국어 통화 전사문 13,382건과, 통화마다 환자 수·환자별 성별·나이대·Pre-KTAS 주증상 라벨입니다. "통화에서 환자 정보를 추출해 주변 병원에 일괄 전달하는 모델"의 학습·평가용으로 만들었습니다.
A synthetic Korean dataset of 13,382 emergency-call transcripts (EMS ↔ ED, or hospital ↔ hospital), each labeled with the number of patients and, per patient, sex, age band, and a Pre-KTAS (Korean prehospital triage) chief complaint. All records are generated text; no… See the full description on the dataset page: https://huggingface.co/datasets/podongchip/119-call-transcript-synthetic-labels.huberman-lab-transcripts
Huberman Lab Transcript Dataset
Cleaned English transcripts from 438 videos published on the Huberman Lab YouTube channel.
Dataset
438 videos
9,833 transcript chunks
~114 million characters
JSONL format
Each record contains:
ext
ideo_id
itle
Processing
The transcripts were collected from YouTube captions and processed by normalizing whitespace, removing common caption artifacts, removing repeated words, splitting into coherent chunks, and… See the full description on the dataset page: https://huggingface.co/datasets/Noothi/huberman-lab-transcripts.ipa-transcription-datase
🗣️ English Text → IPA Transcription Dataset
Overview
This dataset provides a large-scale, phonemically rich collection of English text paired with International Phonetic Alphabet (IPA) transcriptions, designed to support research and applications in speech-language pathology, phonetics, and natural language processing.
It was created to enable data-driven phonetic transcription, reducing reliance on traditional rule-based systems and supporting modern… See the full description on the dataset page: https://huggingface.co/datasets/dsvv-cair/ipa-transcription-datase.Farsight-SRV-Transcripts
The Farsight Institute: Scientific Remote Viewing (SRV) Transcripts
Dataset Summary
This dataset contains the complete, unabridged archive of Scientific Remote Viewing (SRV) session transcripts and project summaries produced by The Farsight Institute, directed by Dr. Courtney Brown.
The data consists of hundreds of highly detailed, text-rich transcripts describing historical events, planetary mysteries, and extraterrestrial dynamics. All remote viewing sessions… See the full description on the dataset page: https://huggingface.co/datasets/courtnoski/Farsight-SRV-Transcripts.council-transcripts
Council Multi-Agent Deliberation Transcripts
Real deliberation transcripts from Council, a multi-agent orchestration skill for OpenClaw.
What This Is
Council routes tasks to specialized Grok persona agents — Workhorse (deep technical reasoning), Creative (novel ideas, chaos energy), and Speed (fast iteration) — then synthesizes their outputs into a final verdict via a Conductor. These transcripts capture the full deliberation process: prompts, per-persona responses, and… See the full description on the dataset page: https://huggingface.co/datasets/Infektyd/council-transcripts.cleaned-asr-transcripts-hinglish
cleaned-asr-transcripts-hinglish
bingbangboom/cleaned-asr-transcripts-hinglish is a parallel corpus containing 14k+ pairs of raw-synthetic Hindi ASR (Automatic Speech Recognition) transcripts mapped to their clean, properly punctuated, and transliterated "Hinglish" (Romanized Hindi) counterparts.
This dataset is specifically designed for ASR post-processing, transliteration models, and fine-tuning Large Language Models (LLMs) to understand and generate high-quality, conversational… See the full description on the dataset page: https://huggingface.co/datasets/bingbangboom/cleaned-asr-transcripts-hinglish.cleaned-asr-transcriptsluciolescribe-transcription-faq
🎙️ LucioleScribe Transcription FAQ - Dataset Production v2.0
📋 Description
Dataset enrichi de questions-réponses FAQ sur la transcription IA 100% locale avec LucioleScribe, première plateforme française de transcription conforme RGPD par conception.
🎯 Caractéristiques clés
📊 Taille: 182+ paires question-réponse (expansion continue)
🏷️ Métadonnées: Enrichi avec catégories, intents, buyer stages, styles
🌍 Langue: Français (France)
📑 Format: JSON Lines… See the full description on the dataset page: https://huggingface.co/datasets/AWANNABY/luciolescribe-transcription-faq.hmi-transcripts
MetaFLOS HMI Transcripts (Manufacturing Human-Machine Interaction Dialogue Dataset)
Multi-turn dialogue dataset between manufacturing floor operators and machine intelligent assistants, generated in Vicuna style (seed scenario → LLM produces transcript).
Content
30 scenarios / 325 dialogue turns (6–12 turns per scenario)
Covers 16 domains: textile warping/weaving, LCD panels, semiconductor processes, fans/blowers, water chillers, general equipment reliability… See the full description on the dataset page: https://huggingface.co/datasets/tjw/hmi-transcripts.Tony-Chase-Transcripts
Tony Chase Transcripts
Around 3500 transcripts of videos from Tony Chase captioned with GPT-3.5-Turbo.
logistics-cx-transcript-analysis-chatml
OmniCX Logistics CX Dataset (Research Preview)
Dataset Summary
This dataset is designed for structured extraction of logistics and customer-experience (CX) signals from multi-turn support conversations.
Each record uses ChatML-style messages with:
a fixed system instruction
a user transcript
an assistant JSON payload matching LogisticsCXMetrics
This release is a research preview and should not be treated as a production-certified benchmark.
Project repository:… See the full description on the dataset page: https://huggingface.co/datasets/mangesh-ux/logistics-cx-transcript-analysis-chatml.frontier-ai-podcast-transcripts
Frontier AI Researcher Podcast Transcripts
Private, research-oriented corpus of long-form podcast and interview transcripts featuring notable and frontier AI researchers. The dataset contains 327 YouTube-sourced episodes and one JSON object per episode.
Contents
327 episodes
49,286 merged dialogue turns
5,595,982 English tokens using the o200k_base tokenizer
3,942,026 tokens in guest turns
Original English plus English translations of Mandarin and mixed… See the full description on the dataset page: https://huggingface.co/datasets/tonychenxyz/frontier-ai-podcast-transcripts.velvet-rope-playtest-transcripts
Velvet Rope Playtest Transcripts
Cleaned playtest transcripts for Velvet Rope, a Build Small Hackathon Gradio game where players talk past whimsical AI gatekeepers by reading moods and discovering each character's soft spot.
This dataset is published for the hackathon's sharing-is-caring badge. It contains 341 turn-level rows from 96 local playtest session files.
Files
data/playtest_transcripts.csv - table-friendly version.
data/playtest_transcripts.jsonl - one… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/velvet-rope-playtest-transcripts.logical-transcripts
logical-transcripts
Golden paired dataset for training models to transliterate Arabic Latin text into
scholarly diacritized form — built from a single recorded Islamic lecture
(Chapter 24, Lecture 16) with a raw ASR transcript and a human-polished scholarly
transcript.
Two artifacts are stored separately for provenance and review:
File
Rows
Purpose
train.jsonl
203
Golden — quality-filtered pairs for training
bronze.jsonl
773
Bronze — every aligned sentence pair… See the full description on the dataset page: https://huggingface.co/datasets/olanigan/logical-transcripts.cleaned-asr-transcripts-hinglish
cleaned-asr-transcripts-hinglish
bingbangboom/cleaned-asr-transcripts-hinglish is a parallel corpus containing 14k+ pairs of raw-synthetic Hindi ASR (Automatic Speech Recognition) transcripts mapped to their clean, properly punctuated, and transliterated "Hinglish" (Romanized Hindi) counterparts.
This dataset is specifically designed for ASR post-processing, transliteration models, and fine-tuning Large Language Models (LLMs) to understand and generate high-quality, conversational… See the full description on the dataset page: https://huggingface.co/datasets/SaiyanSai/cleaned-asr-transcripts-hinglish.