README.md

metadata

pretty_name: JupiMind datasets
language:
  - vi
  - en
license: other
size_categories:
  - 1M<n<10M
task_categories:
  - text-generation
tags:
  - pretraining
  - vietnamese
  - technical-documentation
  - mixed-license
source_datasets:
  - original

JupiMind datasets

This repository stores normalized dataset snapshots used for JupiMind training workflows. The primary asset at the moment is the pretraining mix built for aevynt/JupiMind-Dense-J1R-Tokenizer-24k.

Files currently included

• pretrain/j1r_24k_7b_mix/j1r_t4x4_24k_mix.jsonl
• pretrain/j1r_24k_7b_mix/j1r_t4x4_24k_mix.summary.json

Main dataset: J1R 24k 7B mix

• Type: pretraining JSONL
• Format: one record per line as {"text": "..."}
• Target tokenizer: aevynt/JupiMind-Dense-J1R-Tokenizer-24k
• Generated sequences: 1,710,000
• Target context length: 4096
• Estimated token budget: about ~7B tokens using chunk size 4094
• Original build output path: /home/trainer/jupimind/outputs/pretrain/j1r_t4x4_24k_mix.jsonl

Actual source mix after backfill

Two smaller technical sources did not contain enough material to reach their planned quotas, so the build pipeline backfilled the missing volume with fineweb2_vi. The table below reports the actual final composition, not the initial intended weights.

Source key	Upstream dataset	Config	Written sequences	Actual share	Initial target	Source shortfall	Backfill
fineweb2_vi	epfml/FineWeb2-HQ	vie_Latn	781,741	45.72%	564,300	0	217,441
vietnamese_curated	VTSNLP/vietnamese_curated_dataset	-	376,200	22.00%	376,200	0	0
wikipedia_vi	wikimedia/wikipedia	20231101.vi	171,000	10.00%	171,000	0	0
stackv2_edu	common-pile/stackv2_edu_filtered	-	256,500	15.00%	256,500	0	0
github_ai_docs	meowterspace42/github-ai-project-docs	-	3,047	0.18%	136,800	133,753	0
tech_docs	saidsef/tech-docs	-	1,812	0.11%	85,500	83,688	0
fineweb_edu	HuggingFaceFW/fineweb-edu	sample-10BT	119,700	7.00%	119,700	0	0

Provenance and licensing

This repository does not apply a single blanket content license to the mixed dataset. Each source portion remains governed by its upstream terms. See LICENSE and SOURCES.md for details.

Upstream dataset	Upstream license or terms	Link
epfml/FineWeb2-HQ	ODC-By 1.0; also subject to CommonCrawl Terms of Use	upstream
VTSNLP/vietnamese_curated_dataset	No explicit Hub license field; review the upstream dataset card and underlying component datasets.	upstream
wikimedia/wikipedia	CC-BY-SA 3.0 and GFDL	upstream
common-pile/stackv2_edu_filtered	Open-source licenses vary by document; review upstream card and per-row metadata.	upstream
meowterspace42/github-ai-project-docs	Apache-2.0 per Hub metadata; original source repositories may still carry their own licenses.	upstream
saidsef/tech-docs	Apache-2.0	upstream
HuggingFaceFW/fineweb-edu	ODC-By 1.0; also subject to CommonCrawl Terms of Use	upstream

Usage notes

• This is a derived training mix assembled for pretraining, not a replacement distribution for the original source datasets.
• Downstream users are responsible for reviewing legal, safety, privacy, attribution, and redistribution obligations of each upstream source before training or deploying a model.
• VTSNLP/vietnamese_curated_dataset and common-pile/stackv2_edu_filtered require extra care because their final content rights depend on upstream components or per-document metadata.

Quick load

from datasets import load_dataset

ds = load_dataset(
    "aevynt/jupimind-datasets",
    data_files={"train": "pretrain/j1r_24k_7b_mix/j1r_t4x4_24k_mix.jsonl"},
    split="train",
)
print(ds[0])