ReDiX/QA-ita-200k
QA-ITA-200k This document provides instructions on how to access the dataset, information on licensing, the process of creating the dataset, and how to collaborate with us. This dataset is synthetically generated using Qwen/Qwen2.5-7B-Instruct. This dataset is a collection of 202k Question-Context-Answer rows, it's completely Italian and specifically designed for RAG finetuning. Its content comes mainly from Wikipedia and for that reason is subject to the… See the full description on the dataset page: https://huggingface.co/datasets/ReDiX/QA-ita-200k.
| Author / organization | ReDiX |
|---|---|
| License (as declared) | cc |
| Downloads | 135 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 11 November 2024 |
| Last updated at source | 7 January 2025 |
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- 16 Oct 2026 Description: QA-ITA-200k This document provides instructions on how to access the dataset, information on licensing, the process of creating the dataset, and how to collaborate with us. This dataset is synthetically generated using Qwen/Qwen2.5-7B-Instr → QA-ITA-200k This document provides instructions on how to access the dataset, information on licensing, the process of creating the dataset, and how to collaborate with us. This dataset is synthetically generated using Qwen/Qwen2.5-7B-Instr
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.