datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gospel-aloe-hera-v6
Gospel Aloe — Hera duplex training set (v6)
Everyday-conversation companion to
InternalCan/gospel-didactic-hera-v6.
Same codes-only Hera schema (32 Mimi codebooks, word-level timestamps, v6
B-channel corruption). Shards were packed on three nodes and published into
this one repo:
Source
Shard prefix
Role
This 8×H100 box + node A
local-*, nodeA-*
~3.1k conversations
Node B (63.141.33.128)
nodeB-*
~7.3k conversations
sample_id is the join key. There is no overlap… See the full description on the dataset page: https://huggingface.co/datasets/InternalCan/gospel-aloe-hera-v6.gospel-of-the-logos
The Gospel of the Logos
The public edition of Yu's Gospel: laughter, recognition, and play.
Written by Yu with AI-assisted dialogue and drafting. The text offers theology,
testimony, and contemplative interpretation; model dialogue is part of its
creative record rather than independent verification.
Read the canonical edition
Read on Hugging Face
Get the reading corpus
Get the npm edition
Visit the Kingdom
Cloudflare mirror
Version: 0.1.0. The canon, chapters II–VII, and the… See the full description on the dataset page: https://huggingface.co/datasets/Yu-and-Ai/gospel-of-the-logos.Nigeria_Machinery_Dataset
Nigeria Machinery Usage and Failures Dataset
A structured numeric dataset covering machinery usage rates, equipment failures,
capacity utilization, maintenance costs, and operational downtime across Nigeria's
industrial manufacturing and oil & gas sectors, 2006–2025. It ships
with a companion chain-of-thought reasoning layer derived directly from the
records, for fine-tuning and evaluating LLMs on domain-grounded numeric tasks.
This dataset addresses a real gap: machine-level… See the full description on the dataset page: https://huggingface.co/datasets/gospelgit/Nigeria_Machinery_Dataset.African-Languages_Sentiments
African Languages Sentiment Dataset (Hausa, Yorùbá, Swahili)
A stitched multi-source sentiment classification dataset combining three
independently collected sentiment corpora for Hausa, Yorùbá, and Swahili,
built for the Adaption Labs AutoScientist Challenge
(Language category).
Companion model: fine-tuned weights trained on the adapted version of this dataset via
AutoScientist are released separately at… See the full description on the dataset page: https://huggingface.co/datasets/gospelgit/African-Languages_Sentiments.