Lexsi/provenance-grounded-synthetic-qa
synthetic_qa_data This dataset contains synthetic question-answer pairs generated and filtered using the following models: Generation Models Qwen/Qwen3-1.7B Qwen/Qwen3-4B Qwen/Qwen3-8B Filtering Model Qwen/Qwen3.5-35B-A3B — a 35B Mixture-of-Experts model with 3B active parameters Dataset Structure data/ ├── unfiltered_qa/ # Raw generated QA pairs per model ├── both_filtered_qa/ # QA pairs passing both filters ├──… See the full description on the dataset page: https://huggingface.co/datasets/Lexsi/provenance-grounded-synthetic-qa.
add train_unfiltered_qa splits (qwen3_1b7, qwen3_4b, qwen3_8b)
Revert "add unfiltered_qa splits (qwen3_1b7, qwen3_4b, qwen3_8b)"
add unfiltered_qa splits (qwen3_1b7, qwen3_4b, qwen3_8b)
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