--- pretty_name: "Magpie Qwen3 Bokm\xE5l" language: - nob license: apache-2.0 license_name: Apache 2.0 tasks: - general - reasoning - code - instruction_following creation_approach: synthetic task_categories: - conversational - text-generation --- # Dataset Card for Magpie Qwen3 Bokmål Synthetic Bokmål conversations generated by Qwen3-235B-A22B with Magpie. ## Dataset Description - **Number of samples**: 1.82K - **Number of tokens (Llama 3)**: 2.34M - **Average conversation length in tokens (min, max)**: 1.29K (360, 8.92K) - **Average number of turns (min, max)**: 3.0 (3, 3) This subset contains synthetic Norwegian prompts and responses for tasks such as reasoning, coding, writing, and information seeking. ## Dataset Structure ```py { "id": "magpie-qwen3-bokmaal_00000", "messages": [ { "role": "system", "content": "Du er en AI-assistent spesialisert i logisk tenkning og problemløsning. Brukeren vil delta i en flertrinns samtale med d[...]" }, { "role": "user", "content": "I en liten by er det 1000 innbyggere. En ukjent andel av disse innbyggerne har en sjelden genetisk predisposisjon som gj[...]" }, { "role": "assistant", "content": "Vi skal beregne den **Bayesianske faktoren (BF)** for nullhypotesen $ H_0: p = 0.1 $ mot alternativhypotesen $ H_1: p = [...]" } ], "source": "magpie-qwen3-bokmaal", "added": "2026-09-03", "created": "2025-05-01, 2025-05-31", "language": [ "nob" ], "task": "reasoning", "token_count": 1362 } ``` ### Data Fields An entry in the dataset consists of the following fields: - `id` (`str`): A unique identifier for each sample. - `messages` (`list[dict]`): The conversation turns — see the [message format](../../README.md#data-fields) section in the main README. - `source` (`str`): The source dataset (see [Source Data](#source-data)). - `added` (`str`): The date when the sample was added to this collection. - `created` (`str`): The approximate date range when the source data was created, as `"YYYY-MM-DD, YYYY-MM-DD"` (start, end). Year-level granularity is used when the exact date is unknown. - `language` (`list[str]`): The language(s) of the sample as ISO 639-3 codes (e.g. `["nob"]`, `["nno"]`, `["nob", "eng"]`). - `task` (`str`): The task type of the sample. - `token_count` (`int`): The total number of tokens across all messages, computed using the Llama 3 tokenizer. ### Dataset Statistics