datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ApolloCorpus-ja-askllm-v1
ApolloCorpus-ja-askllm-v1
データセット kunishou/ApolloCorpus-ja に対して、 Ask-LLM 手法でスコア付けしたデータセットです。
元データセットのカラムに加え askllm_score というカラムが追加されており、ここに Ask-LLM のスコアが格納されています。
Ask-LLM でスコア付けに使用した LLM は Rakuten/RakutenAI-7B-instruct で、プロンプトは以下の通りです。
###
{data}
###
Does the previous paragraph demarcated within ### and ### contain informative signal for pre-training a large-language model? An informative datapoint should be well-formatted, contain some usable knowledge of the world, and strictly… See the full description on the dataset page: https://huggingface.co/datasets/geniacllm/ApolloCorpus-ja-askllm-v1.ReOpus-ApolloBooks-EN-NL-1M
ReOpus-ApolloBooks-1M
A high-quality English-Dutch (EN-NL) parallel corpus containing 1 million sentence pairs, constructed through strategic sampling and neural retranslation.
Overview
ReOpus-ApolloBooks-1M is a parallel translation corpus designed for training and evaluating English-Dutch machine translation systems. The corpus combines carefully sampled data from OPUS with neural retranslation using Qwen models, augmented with the Apollo Books parallel corpus.… See the full description on the dataset page: https://huggingface.co/datasets/OpenOranje/ReOpus-ApolloBooks-EN-NL-1M.rootxhacker__Apollo-70B-details
Dataset Card for Evaluation run of rootxhacker/Apollo-70B
Dataset automatically created during the evaluation run of model rootxhacker/Apollo-70B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/rootxhacker__Apollo-70B-details.TimeScope-v0apollo-11-diarized
Apollo 11 Mission Audio — Diarized Transcripts
Machine-generated transcripts with speaker diarization and timestamps for
103 tapes (175 hours) of Apollo 11 mission audio from the
Internet Archive's Apollo11Audio
collection (NASA recordings, public domain).
Generated in a single Hugging Face Job with
OpenMOSS-Team/MOSS-Transcribe-Diarize
(0.9B, Apache 2.0) — joint transcription + speaker attribution + timestamps in one
generation pass per clip.
Configs
segments… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/apollo-11-diarized.apollo_english_guidelines_translated_to_dutch_with_gpt4omini
Data description
Translation of the English medical guidelines that are part of the Apollo corpus, using the LLM GPT 4o mini
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_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_books_translated_to_dutch_with_geminiflash15
Data description
Translation of the English medical books that are part of the Apollo corpus, using the LLM Gemini Flash 1.5
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_geminiflash1.5
Data description
Translation of the English medical guidelines that are part of the Apollo corpus, using the LLM Gemini Flash 1.5
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
rootxhacker__Apollo_v2-32B-details
Dataset Card for Evaluation run of rootxhacker/Apollo_v2-32B
Dataset automatically created during the evaluation run of model rootxhacker/Apollo_v2-32B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/rootxhacker__Apollo_v2-32B-details.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
rootxhacker__apollo-7B-details
Dataset Card for Evaluation run of rootxhacker/apollo-7B
Dataset automatically created during the evaluation run of model rootxhacker/apollo-7B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/rootxhacker__apollo-7B-details.finepdfs_eng_Latn_labeledApolloRP-DPO-v2.0