data/magpie-qwen3-bokmaal/datasheet.md

metadata

pretty_name: Magpie Qwen3 Bokmål
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

{
  "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 section in the main README.
• source (str): The source dataset (see 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

Additional Information

Source Data

The data comes from versae/magpie-qwen3-235B-A22B-bokmaal at revision e47dc5c0f510425ec0ee064657467803e3477edf. The source card says it was generated in May 2025 with Qwen3-235B-A22B, using the Magpie method and no external seed data.

The system, instruction, and response fields become system, user, and assistant messages. Empty system prompts are omitted, and the source category is used as the task label.

Quality Assurance

Both the instruction and response must be classified as Norwegian by langid 1.1.6. This removes 177 of the 2,000 source rows. One duplicate conversation is also removed.

Limitations

The source does not provide the exact generation code or inference settings. Because the examples are synthetic, they may contain factual errors, unsafe material, or incorrect task labels.

License Information

The source dataset and Qwen3-235B-A22B are released under the Apache License 2.0.