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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.
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