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Dataset · Text generation

homelab-webdev

by Mamadou Wann swingdoor45/homelab-webdev

Private SFT mix for Gemma web-dev training. Training JSONL lives in dataset.merged.jsonl. These Hugging Face datasets are the corpora we stream from (subsets only; full dumps are huge): See datasets.manifest.json for columns, licenses, and sample caps.

Rows—
Configurations—
Size2.4 GB
Licenseother
AccessPublicly accessible
Monthly Downloads12.8k

Dataset Card

Private SFT mix for Gemma web-dev training. Training JSONL lives in dataset.merged.jsonl. These Hugging Face datasets are the corpora we stream from (subsets only; full dumps are huge): See datasets.manifest.json for columns, licenses, and sample caps. Colab/Fly streamer: expanddatasetoncolab.py → this repo as dataset.merged.jsonl.

Excerpt from the card by Mamadou Wann, licensed other.

Details

Repository
swingdoor45/homelab-webdev
Publisher
Mamadou Wann
Task category
Text generation
Tags
Not stated by the source
Size category
Not stated by the source
Languages
en
Revision
238eae5e0001e2191d3c7d79870e4cbcc351ad1d
Last updated
2026-10-08

Files

18 files, 2.4 GB in total.

Data10 files · 2.4 GB
Documentation3 files · 6.2 KB
Other4 files · 41.6 KB
Repository1 file · 2.6 KB
Every file
FileTypeSizeSHA-256
anchor/eval_suite.jsonlData14.9 KB—
colab_data_explorer.jsonData7.8 KB—
dataset.backend.sample.jsonlData9.3 KB—
dataset.merged.jsonlData2.4 GBc0bfe40b727a
datasets.manifest.jsonData2.8 KB—
evals/anchor_latest.jsonData4.7 KB—
evals/latest.jsonData9.5 KB—
runtime/last_slice.jsonlData1.1 MB63572d00673d
runtime/loop_round.txtData4 B—
runtime/train_offset.txtData6 B—
README.mdDocumentation896 B—
anchor/SYSTEM.mdDocumentation2.7 KB—
colab_data_explorer.mdDocumentation2.5 KB—
scripts/eval_harness.pyOther12.1 KB—
scripts/sync_colab_data_explorer.pyOther3.4 KB—
scripts/train_colab.pyOther8.7 KB—
scripts/train_export_local.pyOther17.4 KB—
.gitattributesRepository2.6 KB—

License and Download

License
other
Access
No access gate
Download from Mamadou Wann

Released by Mamadou Wann through its official repository on Hugging Face.