AIAny
Icon for item

tran-vi-teacher

Parallel Chinese→Vietnamese dataset of webnovel (xianxia) text provided in JSON for NMT training and teacher-student distillation. In-domain, ~100K–1M examples with CC-BY-4.0 license — useful for fine-tuning or distillation experiments but limited by narrow genre and small download footprint.

Introduction

High-quality, in-domain parallel data for Chinese→Vietnamese—especially in webnovel genres like xianxia—is rare. This dataset supplies aligned sentence pairs and appears designed as a distilled "teacher" resource to bootstrap NMT fine-tuning or teacher-student distillation workflows.

What Sets It Apart
  • Focused domain: source text drawn from webnovel xianxia content, so models fine-tuned on it learn genre-specific phrasing and named-entity patterns (so what: better fluency and terminology for fiction translation tasks).
  • Distillation-oriented: tags include “gemini-teacher” and “distill”, suggesting entries were produced or filtered for teacher-student training (so what: ready-made teacher targets can speed up student model training or evaluation).
  • Practical packaging: distributed as JSON and tagged for use with datasets/pandas/polars ecosystems (so what: easy ingestion into common ML data pipelines).
  • Clear license and size bracket: labeled CC-BY-4.0 and sized between 100K–1M examples (so what: permissive reuse for research/prototyping while being large enough for targeted fine-tuning).
Who It's For & Trade-offs

Great fit if you need in-domain Chinese→Vietnamese parallel pairs for fiction/webnovel translation, want a dataset prepared for distillation experiments, or need a JSON-native dataset for quick pipeline integration. Look elsewhere if you require broad-domain coverage, production-grade translation for high-stakes use, or large-scale warehousing (this dataset has a narrow genre bias and modest community uptake based on download counts).

Information

Categories

More Items

Provides a large corpus of runnable 3D programs and a multi-agent harness that generates, executes, measures, visually judges, and repairs executable 3D code to produce editable, verifiable 3D scenes. Includes ~269K runnable programs, 2.03M render–caption pairs, and an automated execution+repair pipeline.

Hugging Face

Selected ~245B-token corpus of algorithmically relevant code across 11 languages from The Stack v3, produced by file-level language-adaptive selection (UltraData-Code-L2-Classifier). Concentrates problem-solving implementations for LLM code pretraining while preserving broad language coverage; released under ODC-By.

Hugging Face

Contains 73 images used in Hugging Face library documentation, packaged in Parquet and imagefolder formats for examples, demos, and small-scale image experiments; distributed under CC BY‑NC‑SA 4.0.