Datasets:

Nanthasit
/

sakthai-kaggle-notebooks

language:
  - en
license: mit
task_categories:
  - text-generation
size_categories:
  - n<1K
pretty_name: SakThai Kaggle Notebooks
config_names:
  - default
annotations_creators:
  - no-annotation
language_creators:
  - found
multilinguality:
  - monolingual
tags:
  - code
  - notebooks
  - training-scripts
  - dataset:Nanthasit/sakthai-kaggle-notebooks
  - license-mit
  - dataset-card
  - model:Nanthasit/sakthai-1.5b
  - model:Nanthasit/sakthai-engine
  - model:Nanthasit/sakthai-7b-engine
last_verified: '2026-08-01'
verified_by: SakThai
verified: true

SakThai Kaggle Notebooks

Part of the SakThai Model Family.

Dataset Summary

This repository stores a curated collection of notebooks and job scripts used during SakThai experiments, primarily for training, evaluation, and deployment workflows on Kaggle and Colab-style environments. It is not tabular and does not expose structured data files for the Hugging Face Datasets Server.

Repository Files

Notebooks: sakthai-1.5b-t4.ipynb, sakthai-engine.ipynb, sakthai-7b-engine.ipynb, sakthai_grpo_colab.ipynb
Training and job scripts: train-sakthai-*.py, job-*.py, eval-*.py
Utilities: deploy-endpoint.py, validation and evaluation helpers
Helper scripts under scripts/ for evaluation, auditing, conversion, and push operations

Artifact Index

There is no tabular dataset in this repo; it stores script and notebook artifacts for experimentation and operational workflows.

Artifact	Type	Purpose
Notebooks	`.ipynb`	Training, evaluation, and deployment experiments on Kaggle/Colab
Training scripts	`.py`	Reproducible training jobs and job launchers
Evaluation scripts	`.py`	Benchmark and eval harnesses
Utilities	`.py`	Deployment, validation, and conversion helpers

Splits

Config	Split	Notes
default	default	Single-artifact collection; not a tabular dataset with rows/splits

Dataset Size

Metric	Value
Total files	31
Primary formats	`.ipynb`, `.py`
Total storage	~200 KB
Tabular rows	Not applicable

Verified Snapshot

Property	Value
Downloads	184
Last modified	2026-08-01
Files	31 files including notebooks, training/eval scripts, utilities
Viewer note	Datasets Server preview/tabular statistics are unavailable because this is a code/notebook collection
Verified by	SakThai / HF API

Loading Examples

from huggingface_hub import hf_hub_download

# Download a specific notebook
nb_path = hf_hub_download(
  repo_id="Nanthasit/sakthai-kaggle-notebooks",
  filename="sakthai-1.5b-t4.ipynb",
  repo_type="dataset",
)
print(nb_path)

# Snapshot all files locally
files = hf_hub_download(
  repo_id="Nanthasit/sakthai-kaggle-notebooks",
  repo_type="dataset",
)
print(files)

from huggingface_hub import list_repo_files

# Inspect available artifacts before downloading
files = list_repo_files("Nanthasit/sakthai-kaggle-notebooks", repo_type="dataset")
print(files)

Usage

Use this repo to access experiment code and reusable training/evaluation workflows for SakThai family runs on GPU notebook environments. Files can be downloaded directly from the Hugging Face Hub and run in compatible Colab/Kaggle environments.

Verified Snapshot

Property	Value
Dataset ID	`Nanthasit/sakthai-kaggle-notebooks`
Files	31 artifacts: notebooks, training/eval scripts, utilities
Total storage	~200 KB
Format	`.ipynb`, `.py`
Last modified	2026-08-01
Verified by	SakThai / HF API
Tabular rows	Not applicable — code/notebook collection

Citation

@misc{sakthai-kaggle-notebooks,
  title = {SakThai Kaggle Notebooks},
  author = {Beer / SakThai},
  year = {2026},
  url = {https://huggingface.co/datasets/Nanthasit/sakthai-kaggle-notebooks}
}

License

MIT