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openchat-3.5-1210

Text Generation
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Safetensors
mistral
openchat
C-RLFT
conversational
text-generation-inference
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  1. openchat_openchat-3.5-1210.json +480 -0
openchat_openchat-3.5-1210.json ADDED
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+ "description": "\n\t\n\t\t\n\t\tThis is the Official Capybara dataset. Over 10,000 multi-turn examples.\n\t\n\nCapybara is the culmination of insights derived from synthesis techniques like Evol-instruct (used for WizardLM), Alpaca, Orca, Vicuna, Lamini, FLASK and others.\nThe single-turn seeds used to initiate the Amplify-Instruct synthesis of conversations are mostly based on datasets that i've personally vetted extensively, and are often highly regarded for their diversity and demonstration of logical robustness and\u2026 See the full description on the dataset page: https://huggingface.co/datasets/LDJnr/Capybara."
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+ "description": "\n\t\n\t\t\n\t\tDataset Card for Dataset Name\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nThe dataset.json file contains ~1.7 million synthetic data for arithmetic tasks, generated by dataset.ipynb.\n\n\t\n\t\t\n\t\tSupported Tasks and Leaderboards\n\t\n\n[More Information Needed]\n\n\t\n\t\t\n\t\tLanguages\n\t\n\n[More Information Needed]\n\n\t\n\t\t\n\t\tDataset Structure\n\t\n\n\n\t\n\t\t\n\t\tData Instances\n\t\n\n[More Information Needed]\n\n\t\n\t\t\n\t\tData Fields\n\t\n\n[More Information Needed]\n\n\t\n\t\t\n\t\tData Splits\n\t\n\n[More Information Needed]\n\n\t\n\t\t\n\t\tDataset Creation\u2026 See the full description on the dataset page: https://huggingface.co/datasets/tiedong/goat."
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+ "description": "\n\t\n\t\t\n\t\tGlaive-code-assistant\n\t\n\nGlaive-code-assistant is a dataset of ~140k code problems and solutions generated using Glaive\u2019s synthetic data generation platform.\nThe data is intended to be used to make models act as code assistants, and so the data is structured in a QA format where the questions are worded similar to how real users will ask code related questions.\nThe data has ~60% python samples.\nTo report any problems or suggestions in the data, join the Glaive discord\n"
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+ {
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+ "name": "license",
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+ "value": "mit"
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+ }
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+ ]
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+ },
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+ "governance": {
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+ "owners": [
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+ {
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+ "organization": {
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+ "name": "TIGER-Lab",
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+ "url": "https://huggingface.co/TIGER-Lab"
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+ }
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+ }
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+ ]
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+ },
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+ "description": "\n\t\n\t\t\n\t\t\ud83e\udda3 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning\n\t\n\nMathInstruct is a meticulously curated instruction tuning dataset that is lightweight yet generalizable. MathInstruct is compiled from 13 math rationale datasets, six of which are newly curated by this work. It uniquely focuses on the hybrid use of chain-of-thought (CoT) and program-of-thought (PoT) rationales, and ensures extensive coverage of diverse mathematical fields. \nProject Page:\u2026 See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/MathInstruct."
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+ }
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+ ]
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+ }
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+ ]
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+ }