datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fiftyone-function-calling-14k
FiftyOne Function Calling 14k Dataset
Overview
This dataset is derived from the FiftyOne documentation and is designed to train AI assistants to understand and answer questions about FiftyOne's functionality. The dataset follows the format specified in the APIGen paper, structuring the data to map natural language queries to appropriate API tools and their usage.
Purpose
Train AI models to understand FiftyOne-related queries
Provide structured examples of… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/fiftyone-function-calling-14k.fiftyone-qa-pairs-14k
FiftyOne QA 14k Dataset
Overview
This dataset is derived from the FiftyOne Function Calling 14k dataset and is designed to train AI assistants to understand and answer questions about FiftyOne's functionality.
Purpose
Train AI models to understand FiftyOne-related queries
Provide examples of FiftyOne syntax
Map natural language questions to appropriate FiftyOne code snippets
Demonstrate correct usage for FiftyOne functions and method calls
This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/fiftyone-qa-pairs-14k.fiftyone-embeddings-combined
FiftyOne Embeddings Dataset
This dataset combines the FiftyOne Q&A and function calling datasets with pre-computed embeddings for fast similarity search.
Dataset Information
Total samples: 28,118
Q&A samples: 14,069
Function samples: 14,049
Embedding model: text-embedding-3-large
Embedding dimension: 3072
Schema
query: The original question/query text
response: The unified response content (either answer text for Q&A or function call text for function… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/fiftyone-embeddings-combined.