datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
xone-repository-parallel-en-id-corpusWe are currently developing new version of LMSE translation scoring model and processing additional data sources. We estimate the dataset will expand, with significantly improved quality.(Delayed..)
A score of 55% and above indicates high-quality translation pairs, even if the first version of the model we developed gave them such a score. We will try to release a newer model in the future with better quality and consistently fast scoring speeds, and release it to the public once we decide… See the full description on the dataset page: https://huggingface.co/datasets/cloverx-id/xone-repository-parallel-en-id-corpus.human-ai-parallel-corpus-biber
Citation
If you use the corpus as part of your research, please cite:
Do LLMs write like humans? Variation in grammatical and rhetorical styles
@misc{reinhart2024llmswritelikehumans,
title={Do LLMs write like humans? Variation in grammatical and rhetorical styles},
author={Alex Reinhart and David West Brown and Ben Markey and Michael Laudenbach and Kachatad Pantusen and Ronald Yurko and Gordon Weinberg},
year={2024},
eprint={2410.16107}… See the full description on the dataset page: https://huggingface.co/datasets/browndw/human-ai-parallel-corpus-biber.coca-ai-parallel-corpus-biber
COCA-AI Parallel Corpus (Biber Parsed)
R users can import the data directly using r-polars:
library(polars)
df <- pl$read_parquet('hf://datasets/browndw/coca-ai-parallel-corpus-biber/**/*.parquet')
df <- df$to_data_frame()
Citation
If you use the corpus as part of your research, please cite:
Do LLMs write like humans? Variation in grammatical and rhetorical styles@misc{reinhart2024llmswritelikehumans,
title={Do LLMs write like humans? Variation in grammatical… See the full description on the dataset page: https://huggingface.co/datasets/browndw/coca-ai-parallel-corpus-biber.tunisian-msa-parallel-corpus
Dataset Description
This is an ambitious project to create a high-quality, reproducible parallel corpus for Modern Standard Arabic (MSA) and Tunisian Arabic (aeb) through a sophisticated synthetic data generation pipeline. The dataset is being developed by the Tunisia.AI community to address the scarcity of high-quality dialectal data for training and evaluating language models.
The primary goal is to provide a rich, well-documented resource for the research and development of:… See the full description on the dataset page: https://huggingface.co/datasets/tunis-ai/tunisian-msa-parallel-corpus.human-ai-parallel-corpus-spacy
Citation
If you use the corpus as part of your research, please cite:
Do LLMs write like humans? Variation in grammatical and rhetorical styles
@misc{reinhart2024llmswritelikehumans,
title={Do LLMs write like humans? Variation in grammatical and rhetorical styles},
author={Alex Reinhart and David West Brown and Ben Markey and Michael Laudenbach and Kachatad Pantusen and Ronald Yurko and Gordon Weinberg},
year={2024},
eprint={2410.16107}… See the full description on the dataset page: https://huggingface.co/datasets/browndw/human-ai-parallel-corpus-spacy.human-ai-parallel-corpus-docuscope
COCA-AI Parallel Corpus (Biber Parsed)
Data were tagged with the en_docusco_spacy model.
R users can import the data directly using r-polars:
library(polars)
df <- pl$read_parquet('hf://datasets/browndw/coca-ai-parallel-corpus-biber/**/*.parquet')
df <- df$to_data_frame()
Citation
If you use the corpus as part of your research, please cite:
Do LLMs write like humans? Variation in grammatical and rhetorical styles
@misc{reinhart2024llmswritelikehumans,
title={Do… See the full description on the dataset page: https://huggingface.co/datasets/browndw/human-ai-parallel-corpus-docuscope.quran-parallel-corpus
Quran Parallel Corpus
Verse-aligned Quran parallel corpus — Arabic (Uthmani), English (Sahih International), and Indonesian (Ministry of Religious Affairs).
Stats
Total verses: 6236
Languages: Arabic, English, Indonesian
Translation pairs: Arabic↔English, Arabic↔Indonesian, English↔Indonesian
Formats: JSONL, CSV, Parquet
Structure
Each verse record contains:
Field
Description
surah_number
Chapter (1–114)
surah_name_arabic
Arabic surah… See the full description on the dataset page: https://huggingface.co/datasets/sarjukesumo/quran-parallel-corpus.coca-ai-parallel-corpus-spacy
Citation
If you use the corpus as part of your research, please cite:
Do LLMs write like humans? Variation in grammatical and rhetorical styles
@misc{reinhart2024llmswritelikehumans,
title={Do LLMs write like humans? Variation in grammatical and rhetorical styles},
author={Alex Reinhart and David West Brown and Ben Markey and Michael Laudenbach and Kachatad Pantusen and Ronald Yurko and Gordon Weinberg},
year={2024},
eprint={2410.16107}… See the full description on the dataset page: https://huggingface.co/datasets/browndw/coca-ai-parallel-corpus-spacy.JParaCrawl-Filtered-English-Japanese-Parallel-Corpus
Introduction
This is a LLM-filtered set of the first 1M rows from ntt's JParaCrawl v3 large English-Japanese parallel corpus.
The original JParaCrawl corpus was put together by automated means - aligning Japanese texts with their apparent English translations that were found in-the-wild, on the internet.
Whilst manually browsing the original data, I noticed that there were obvious quality issues that made me anxious about using the dataset at all. Poorly aligned translations… See the full description on the dataset page: https://huggingface.co/datasets/Verah/JParaCrawl-Filtered-English-Japanese-Parallel-Corpus.kaa-parallel-corpus
Kaa Karakalpak-English Parallel Corpus (FineTranslations)
📌 Overview
This repository contains a high-quality, curated parallel corpus for the Karakalpak (kaa) language, paired with English (en). Karakalpak is a low-resource Turkic language spoken primarily in the Republic of Karakalpakstan.
This dataset is a specialized subset extracted from the massive HuggingFaceFW/finetranslations project. The goal of this repo is to provide a dedicated and easy-to-access resource… See the full description on the dataset page: https://huggingface.co/datasets/nickoo004/kaa-parallel-corpus.CA-EN_Parallel_Corpus
Dataset Card for CA-EN Parallel Corpus
Dataset Description
Dataset Summary
The CA-EN Parallel Corpus is a Catalan-English dataset of parallel sentences created to
support Catalan in NLP tasks, specifically Machine Translation.
Supported Tasks and Leaderboards
The dataset can be used to train Bilingual Machine Translation models between English and Catalan in any direction,
as well as Multilingual Machine Translation models.
Languages
The… See the full description on the dataset page: https://huggingface.co/datasets/projecte-aina/CA-EN_Parallel_Corpus.tunisian-msa-parallel-corpus-evaluated
Dataset Description
This dataset is a synthetic parallel corpus of Tunisian Arabic (aeb) and Modern Standard Arabic (arb).
It was created with a rigorous multi-stage pipeline to maximize quality and reproducibility, addressing the scarcity of high-quality resources for Tunisian Arabic NLP.
The primary goals are to support:
Machine translation between Tunisian Arabic and MSA.
Research in dialectal-aware text generation and evaluation.
Cross-dialect representation learning in… See the full description on the dataset page: https://huggingface.co/datasets/tunis-ai/tunisian-msa-parallel-corpus-evaluated.human-ai-parallel-corpus-2-emotionsen-az-opus-filtered-parallel-corpus
Filtered EN-AZ OPUS Parallel Corpus
English–Azerbaijani parallel sentences pooled from OPUS corpora and filtered with a
two-stage quality-estimation pipeline.
Pipeline
LaBSE cross-lingual cosine similarity (kept the well-aligned pairs).
COMET-Kiwi (Unbabel/wmt22-cometkiwi-da) reference-free QE on the survivors.
Exact-pair deduplication.
Effective minimums in this release: LaBSE ≥ 0.900, COMET-Kiwi ≥ 0.900.
Columns
en_text — English (source)… See the full description on the dataset page: https://huggingface.co/datasets/LocalDoc/en-az-opus-filtered-parallel-corpus.arabic-russian-parallel-corpus
Arabic‑Russian Parallel Corpus
A parallel corpus for Arabic–Russian language pairs. Each record contains an Arabic sentence/phrase, its Russian translation, and the source of the pair.The dataset has been cleaned, deduplicated, and source names normalized to lowercase.
📊 Dataset Statistics
Overview
Metric
Value
Total entries
116,393
Unique Arabic strings
116,124
Unique Russian strings
116,152
Unique sources
6
Data… See the full description on the dataset page: https://huggingface.co/datasets/ArabicNLPWorld/arabic-russian-parallel-corpus.hadith-parallel-corpustunisian-msa-parallel-corpus-evaluated
Dataset Description
This dataset is a synthetic parallel corpus of Tunisian Arabic (aeb) and Modern Standard Arabic (arb).
It was created with a rigorous multi-stage pipeline to maximize quality and reproducibility, addressing the scarcity of high-quality resources for Tunisian Arabic NLP.
The primary goals are to support:
Machine translation between Tunisian Arabic and MSA.
Research in dialectal-aware text generation and evaluation.
Cross-dialect representation learning in Arabic… See the full description on the dataset page: https://huggingface.co/datasets/hbenayed/tunisian-msa-parallel-corpus-evaluated.CA-EN_Parallel_CorpusJParaCrawl-Filtered-English-Japanese-Parallel-Corpus-formattedekitil-corpus-parallel-kkru-v1odia-german-parallel-corpus-research
Dataset Summary
This dataset is a high-quality, parallel corpus for Odia (Oriya) to German and German to Odia machine translation. It focuses on the news domain, specifically covering National, International, Sports, Trade, and Science & Technology topics.
The dataset contains 3,676 unique parallel sentence pairs, curated through a hybrid approach combining automated web scraping, manual human translation (Gold Standard), and human-corrected machine translation (Silver… See the full description on the dataset page: https://huggingface.co/datasets/abhinandansamal/odia-german-parallel-corpus-research.