datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Dolci-Think-SFT-translated
Dolci-Think-SFT-translated
Machine translations of the Dolci-Think-SFT-32B dataset, produced with gemma-4-31B-it. The samples selected for translation are those where content_quality == "excellent" according to the propella annotations.
Columns
Each row is a translated conversation plus the result of a post-translation quality filter:
id — source record id.
messages — the translated conversation (list of {content, role}).
filter_pass — true if the row passed… See the full description on the dataset page: https://huggingface.co/datasets/openeurollm/Dolci-Think-SFT-translated.bluemoon-fandom-1-1-rp-jp-translated
bluemoon-fandom-1-1-rp-jp-translated
A subset of Squish42/bluemoon-fandom-1-1-rp-cleaned translated to Japanese using command-r-08-2024.
Misc. info
I used openrouter's api for inference with command-r-08-2024. Doing so is roughly 4x quicker than running the model locally, doesn't use up 95% of my vram, and doesn't make my 3090 as loud as my neighbours.
I decided to use command-r-08-2024 because it is completely uncensored for nsfw translation and provides translation… See the full description on the dataset page: https://huggingface.co/datasets/joujiboi/bluemoon-fandom-1-1-rp-jp-translated.ACL-SRW-2025
Dataset Components
The dataset is partitioned into three discrete tables stored in CSV or Parquet format:
Questions
Recipes
Evaluation Results
Each component is described in detail below.
Questions
area
domain
question_number
An integer index uniquely identifying each question inside the knowledge domain.
translation_method
English, Google Translate, GPT-3.5-Turbo, GPT-4o, Human
question
option_a, option_b, option_c, option_d
Recipes
area… See the full description on the dataset page: https://huggingface.co/datasets/Translated-MMLU-Blind-Review/ACL-SRW-2025.apollo_english_guidelines_translated_to_dutch_with_nllb200
Data description
Translation of the English medical guidelines that are part of the Apollo corpus, using the NLLB200-600M NTM.
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
apollo_english_guidelines_translated_to_dutch_with_marianmt
Data description
Apollo corpus, English guidelines translated to Dutch using MariaNMT.
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
bluemoon-fandom-1-1-rp-jp-translated-v2Reattempt at what I did with bluemoon-fandom-1-1-rp-jp-translated v1.
This dataset has 538 conversations and 9606 messages, making this dataset about 15% bigger.
I used deepseek-v3.2-exp from translation this time.
boolq-deepl-translated-sft
Dataset Card for Finnish-NLP/boolq-deepl-translated-sft
Creation process
Load data from google/boolq translated with deepl
Write rows to .txt file with *** on a newline separating instruction/response and then END on a newline separating samples
Upload file to deepl.com for file translation --> parse samples back from translated files --> Maybe some additional cleaning/filtering based on fasttext langdetect / kenlm perplexity