I’ve published a structured transcript dataset of Pinga-Fogo, two live TV interviews with Brazilian medium Chico Xavier, broadcast by TV Tupi in 1971.
Together, the two programs amount to roughly 6 hours of material and are among the longest surviving recordings of Chico Xavier answering questions live before a panel of journalists.
Dataset:
https://huggingface.co/datasets/ia-espirita/pinga-fogo-chico-xavier
What’s in it
345 speech turns, including 115 answers by Chico Xavier.
Available in JSONL, Parquet, and combined CSV. Each turn includes speaker, turn type, topic label, timestamps, transcript text, source audio, and review flags.
Portuguese only.
How it was made
Internet Archive audio → Whisper large-v3 → LLM-assisted segmentation and labeling.
The LLM did not rewrite the transcript. It only worked with segment indices, boundaries, speaker/turn classification, and topic labels.
Every word in the transcript comes directly from Whisper output.
Known limitations
This is still unreviewed ASR from degraded 1971 recordings, so there are transcription errors, especially in proper names and numbers.
Every record is marked:
revisado_por_humano: false
If you want to quote something, check the original audio first. Timestamps are included for that purpose.
The date of the second program is inconsistent across historical sources, so I recorded only December 1971 rather than forcing an exact day.
Speaker attribution is also left as desconhecido whenever I couldn’t identify someone confidently.
Why I made it
I’m building a retrieval system over historical Spiritist literature and primary sources, and I couldn’t find a structured, timestamped version of Pinga-Fogo anywhere.
Potential uses include pt-BR ASR benchmarking, speaker-turn segmentation, diarization, information retrieval, and long-form QA.
Human review is the obvious next step.
Corrections and PRs are very welcome.
submitted by /u/SideSuspicious8083
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