Dataset Card for "no_robots_enfr"

This is a filtered version of HuggingFaceH4/no_robots, then traduced to french with Deepl pro API, the best translation solution available on the market.

Our goal is to gather french data for one turn chatbot, on general subjects. We filtered few data from the original dataset:

• We kept only the one turn questions
• We took out any data where a system role is settle at the beginning, as our LLM will have a unique role that we don't have to define before a query.
• We kept the category information from the original dataset

Category	Number of Data	Mean Words (Query)	Mean Words (Output)
Brainstorm	1120	35	217
Generation	4560	35	177
Rewrite	660	258	206
Open QA	1240	12	73
Classify	350	121	29
Summarize	420	238	64
Coding	350	55	124
Extract	190	270	36
Closed QA	260	217	22
----------------	----------------	--------------------	---------------------
General Dataset	9150	71	150

Depending on our need we will filter those data by category to not inject hallicination in our fine-tuning.

The splits are made as each split have the same proportion of each categories: Train dataset size: 7866 Eval dataset size: 637 Test dataset size: 647