Iman998/HexaBee-Wikipedia-PT

HexaBee · Wikipedia Foundations

Wikipedia text, organized by language.

Paper: Iman Barati, Mohammadmostafa Rostamkhani, and Mohammad Badzohreh, HexaBee-4B: Six-Language Translation with Multilingual Answering and Bidirectional Supervision, arXiv:2610.16361 (2026).

Overview · Quick start · Contents · Provenance · Limitations · Release family · Research code

Overview

Raw Wikipedia text sources registered for the executed continued-pretraining stage. The Persian source was registered four times in the historical mixture; this release stores it once and documents the sampling multiplicity.

Property	Value
Artifact	HexaBee · Wikipedia Foundations
Scope	Phase 1 raw-text sources
Released rows	11,395,061
Format	Sharded Parquet + metadata
Release	Audited historical artifacts
Model family	HexaBee-4B / Gemma 3

Quick start

from datasets import load_dataset

ds = load_dataset("Iman998/HexaBee-Wikipedia-PT", "fa", split="train", streaming=True)
print(next(iter(ds)))

Contents

One Parquet configuration per unique registered source: Persian, English, Arabic, Chinese, and Egyptian Arabic. Each record contains id, text, and language. These are raw rows, not packed training sequences.

release_manifest.json lists distributed files, sizes, and SHA-256. release_stats.json records measured artifact metadata. Data files use bounded Parquet shards; original strings and empty outputs are preserved in historical exports.

Available configurations

Configuration	Splits	Rows
fa	train	802,549
en	train	6,406,711
ar	train	1,216,238
zh	train	1,354,407
arz	train	1,615,156

Provenance

The executed PT adapter card lists wiki-en, fawiki1, wiki-ar, fawiki2, wiki-zh, fawiki3, wiki-arz, fawiki4. The four fawiki registrations reference the same file. The trainer reported 3,399,664 training examples after preprocessing; raw source counts measured below are a different unit. Original article revisions and historical source hashes were not captured. The five PT sources differ from the six translation-evaluation languages.

This release is part of HexaBee-4B, previously labeled PCT-4B in the local evaluation audit. Both names refer to the same final translator. Renaming does not imply retraining. This repository is an artifact release, not evidence of workshop acceptance or an official shared-task ranking.

Limitations

Historical exports may contain empty strings, imperfect generated text and instruction conflicts. Source row reuse is not independent evidence. See measured release statistics and the accompanying evaluation scope.

The complete adaptation recipe was evaluated; no matched ablation isolates the contribution of multilingual answering. Synthetic references and model-based judges limit interpretation. Long COMET inputs are truncated at the encoder limit. Use the independent evaluation repository for precise sample counts, parameters, all directions, and uncertainty estimates.

Release family

Artifact	Repository
HexaBee-4B	Iman998/HexaBee-4B
HexaBee · Multilingual Base	Iman998/HexaBee-4B-Multilingual-Base
HexaBee · Wikipedia PT LoRA	Iman998/HexaBee-4B-PT-LoRA
HexaBee · Multilingual SFT LoRA	Iman998/HexaBee-4B-Multilingual-SFT-LoRA
HexaBee · Translation LoRA	Iman998/HexaBee-4B-Translation-LoRA
HexaBee · Wikipedia Foundations	Iman998/HexaBee-Wikipedia-PT
HexaBee · Multilingual Answering & Translation	Iman998/HexaBee-Multilingual-SFT
HexaBee · Bidirectional Translation	Iman998/HexaBee-Bidirectional-Translation
HexaBee · The Prompt Hive	Iman998/HexaBee-System-Prompts
HexaBee · Translation Archive	Iman998/HexaBee-Model-Outputs
HexaBee · Evaluation Atlas	Iman998/HexaBee-Evaluation

Each phase, checkpoint, prompt inventory, output archive and evaluation result has its own repository and card. Model cards identify the exact adapter base; dataset cards identify the unit of a released row. Historical row counts are not counts of unique source articles.

License and attribution

See LICENSE.md. Model weights remain under Gemma terms; upstream dataset and service terms are not replaced by this repository's software license. The illustrated branding is decorative and does not encode experimental evidence.

Citation and references

Please cite Barati, Rostamkhani, and Badzohreh (2026), HexaBee-4B: Six-Language Translation with Multilingual Answering and Bidirectional Supervision. Research code.

Related methods and tools: Gemma 3, LoRA, LLaMA-Factory, SacreBLEU, COMET.

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⬡ HexaBee-4B · FA · EN · AR · ZH · HE · ES
Maintained by Iman998

Cite this paper

@misc{barati2026hexabee4b,
  title={HexaBee-4B: Six-Language Translation with Multilingual Answering and Bidirectional Supervision},
  author={Barati, Iman and Rostamkhani, Mohammadmostafa and Badzohreh, Mohammad},
  year={2026},
  eprint={2610.16361},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2610.16361}
}