languages
asr-whisper-51-african-languages51-languages-classifierlfm25-titlegen-17-languagestraversaal-llm-regional-languages_-_Unsloth_Urdu_Llama3_1_FP16_PF100-gguftraversaal-llm-regional-languages-Unsloth_Urdu_Llama3_1_FP16_PF100-GGUFxlm-roberta-indonesian-languagesprogramming-languagesfaster-whisper-51-african-languages
wikipedia_20240401_10-languages_bge-m3_qdrant_indexThis repository contains a Qdrant index created from preprocessed and chunked Wikipedia HTML dumps from 10 languages. The embedding model used is BAAI/bge-m3
This index is compatible with WikiChat v2.0.
Refer to the following for more information:
GitHub repository: https://github.com/stanford-oval/WikiChat
Papers:
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources… See the full description on the dataset page: https://huggingface.co/datasets/stanford-oval/wikipedia_20240401_10-languages_bge-m3_qdrant_index.low_resource_languages_pretrain_data5low_resource_languages_pretrain_data2ethiopian-languages-speech-dataset
Leyu Ethiopian Languages Speech Dataset
Audio recordings paired with corresponding text transcripts, collected on the Leyu Data Collection Platform — an open-source platform for crowdsourced speech data collection — for the Leyu Platform Competition, covering 4 languages: Amharic, Afaan Oromo, Sidama, Tigrinya.
Dataset Summary
Languages: Amharic (am), Afaan Oromo (om), Sidama (sid), Tigrinya (ti)
Total examples: 2750
License: CC-BY-4.0
Task categories: Automatic… See the full description on the dataset page: https://huggingface.co/datasets/Benji-fish/ethiopian-languages-speech-dataset.wikipedia_20240801_10-languages_bge-m3_qdrant_indexThis repository contains a Qdrant index created from preprocessed and chunked Wikipedia HTML dumps from 10 languages. The embedding model used is BAAI/bge-m3
This index is compatible with WikiChat v2.0.
Refer to the following for more information:
GitHub repository: https://github.com/stanford-oval/WikiChat
Papers:
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources… See the full description on the dataset page: https://huggingface.co/datasets/stanford-oval/wikipedia_20240801_10-languages_bge-m3_qdrant_index.low_resource_languages_pretrain_data8
