cleaned
gemma-2-2b-it-alpaca-cleaned-SFTmlfoundations-dev_-_dcft_orca-agentinstruct-1M-v1-cleaned-singleturn-ggufBramVanroy_-_llama2-13b-ft-mc4_nl_cleaned_tiny-ggufmlfoundations-dev_-_dcft-orca-agentinstruct-1M-v1-cleaned-ggufdhmeltzer_-_Llama-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora_merged-ggufdhmeltzer_-_Llama-2-7b-hf-eli5-cleaned-1024_qlora_merged-ggufmlfoundations-dev_-_dcft-orca-agentinstruct-1M-v1-cleaned_mistral-ggufunionai_-_pythia-1b-deduped-finetune-alpaca-cleaned-gguf
Datasets
All datasets matching “cleaned”HPLT2.0_cleanedNB: HPLT2.0 is now superseded by a newer release:
HPLT3.0
We recommed switching to v3.0, unless you have a compelling reason to stay on 2.0.
This is a large-scale collection of web-crawled documents in 191 world languages, produced by the HPLT project.
The source of the data is mostly Internet Archive with some additions from Common Crawl.
For a detailed description of the dataset, please refer to our website and our pre-print.
The Cleaned variant of HPLT Datasets v2.0
This is… See the full description on the dataset page: https://huggingface.co/datasets/HPLT/HPLT2.0_cleaned.ultrafeedback-binarized-preferences-cleaned
UltraFeedback - Binarized using the Average of Preference Ratings (Cleaned)
This dataset represents a new iteration on top of argilla/ultrafeedback-binarized-preferences,
and is the recommended and preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback.
Read more about Argilla's approach towards UltraFeedback binarization at argilla/ultrafeedback-binarized-preferences/README.md.
Differences with argilla/ultrafeedback-binarized-preferences… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned.alpaca-cleaned
Dataset Card for Alpaca-Cleaned
Repository: https://github.com/gururise/AlpacaDataCleaned
Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet, which just caused GPT3 to hallucinate an answer.
"instruction":"Summarize… See the full description on the dataset page: https://huggingface.co/datasets/yahma/alpaca-cleaned.longmemeval-cleanedThis dataset replaces the original LongMemEval dataset. The main difference is that this version removes noisy history sessions that interfere with the answer correctness. More detailed session processing information can be found here.
ultrafeedback-binarized-preferences-cleaned-kto
UltraFeedback - Binarized using the Average of Preference Ratings (Cleaned) KTO
A KTO signal transformed version of the highly loved UltraFeedback Binarized Preferences Cleaned, the preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback
This dataset represents a new iteration on top of argilla/ultrafeedback-binarized-preferences,
and is the recommended and preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback.
Read more about… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned-kto.cad-corpus-cleaned