Datasetpublic

oliverkinch/dst-table-prompts-bt

DST Table Prompts A Danish instruction-tuning dataset of (prompt, article) pairs derived from Danmarks Statistik (Statistics Denmark) publications. Each example pairs a natural-language user request — embedding the actual markdown table — with the real statistician-written article as the target response. The prompts are LLM-generated and vary in style, tone, and table placement; the table data and article text come directly from the source dataset. Dataset… See the full description on the dataset page: https://huggingface.co/datasets/oliverkinch/dst-table-prompts-bt.

sourceHugging Facecc-by-4.0updated 5mo agoView on Hugging Face

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Dataset Card

DST Table Prompts

A Danish instruction-tuning dataset of (prompt, article) pairs derived from Danmarks Statistik (Statistics Denmark) publications.

Each example pairs a natural-language user request — embedding the actual markdown table — with the real statistician-written article as the target response. The prompts are LLM-generated and vary in style, tone, and table placement; the table data and article text come directly from the source dataset.

Dataset description

Danmarks Statistik publishes statistical articles alongside the raw data tables they are based on. This dataset turns each article into a data-to-text training example:

—prompt: a natural Danish user request asking an AI to write an article from the table data. The request embeds the real markdown table(s) from the article.
—target: the original article written by Danmarks Statistik statisticians.

The prompts were generated with gpt-4.1 using 12 cycling style seeds (varying tone and table placement) and personas sampled from nvidia/Nemotron-Personas-USA. The LLM never sees or modifies the table data — it generates framing text around a [table] placeholder that is replaced with the actual markdown in post-processing.

Source data

Built from `oliverkinch/dst-table-prompts`, which contains DST statistical articles paired with their inline markdown tables scraped from dst.dk/nyt.

Dataset structure

Split	Rows
train	3 043
test	339

Fields

Field	Type	Description
`id`	string	Unique row identifier (`dst_tables-NNNNNN`)
`prompt`	string	Danish user request with the markdown table(s) embedded
`target`	string	Original article text from Danmarks Statistik
`sources`	list	Provenance: source dataset, split, row id, title, URL
`meta`	dict	Metadata: title, URL, char counts, style seed index, source row index
`checks`	dict	Quality checks run at verification time

Example

python

from datasets import load_dataset
ds = load_dataset("oliverkinch/dst-table-prompts")
print(ds["train"][0]["prompt"][:300])
print("---")
print(ds["train"][0]["target"][:300])

Generation

Built with dfm-sdg (dst_tables pack). Run ID: 2026-05-04T131736+0000-fa019553.

Licence

The articles and tables originate from Danmarks Statistik and are published under CC BY 4.0. The generated prompts are derived works and inherit the same licence.