| --- |
| language: |
| - en |
| license: other |
| task_categories: |
| - question-answering |
| - text-generation |
| tags: |
| - question-answering |
| - text-generation |
| - chat |
| - instruction-tuning |
| - non-synthetic |
| - dl26 |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # UltraBeacon |
|
|
| UltraBeacon is a high-quality English question-answering dataset prepared by **Dl26** for text-generation and chat-style model training. |
|
|
| The dataset is converted from **TriviaQA** into a consistent assistant format with `prompt`, `response`, and `messages` fields. It is intended for supervised fine-tuning of general assistant models that need strong question answering behavior. |
|
|
| ## Dataset Details |
|
|
| | Property | Value | |
| | --- | --- | |
| | Dataset name | `UltraBeacon` | |
| | Developer | Dl26 | |
| | Source dataset | `mandarjoshi/trivia_qa` | |
| | Rows | 138,384 | |
| | Language | English | |
| | Task | Question answering / text generation | |
| | Format | Single-turn chat with user and assistant messages | |
| | Synthetic data | No model-generated synthetic answers are added | |
|
|
| ## Fields |
|
|
| | Field | Description | |
| | --- | --- | |
| | `id` | Stable row identifier for this converted dataset | |
| | `source_dataset` | Upstream dataset identifier | |
| | `source_id` | Upstream row or question identifier when available | |
| | `task` | QA task family | |
| | `prompt` | User-facing instruction/question text | |
| | `response` | Ground-truth answer text | |
| | `messages` | Chat-format list with `user` and `assistant` turns | |
| | `quality_source` | Short provenance note | |
|
|
| ## Example |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("Dl26/UltraBeacon", split="train") |
| print(dataset[0]["messages"]) |
| ``` |
|
|
| ## Intended Use |
|
|
| UltraBeacon is intended for: |
|
|
| * supervised fine-tuning of text-generation models |
| * question-answering behavior training |
| * single-turn assistant training |
| * retrieval and answer-grounding experiments |
| * general English QA evaluation and data mixing |
|
|
| ## Source and Licensing |
|
|
| This dataset is a format conversion of `mandarjoshi/trivia_qa`. The conversion keeps source provenance fields so users can inspect origin and terms. Upstream dataset licenses and terms still apply. |
|
|
