Datasetpublic

Dl26/UltraGrain

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… See the full description on the dataset page: https://huggingface.co/datasets/Dl26/UltraGrain.

sourceHugging Faceotherupdated 4mo agoView on Hugging Face

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Dataset Card

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.