license: apache-2.0
language:
- en
task_categories:
- text-generation
tags:
- synthetic
- datainventor
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train.jsonl
pretty_name: 'DataInventor: African questions and answers'
DataInventor: African questions and answers
A synthetic instruction dataset of 195 rows in English, built with DataInventor, an open-source recreation of the Invent a Dataset workflow. Describe the data you want and DataInventor writes it. This is one of eight showcase datasets.
Request
Dataset containing question-and-answer pairs covering diverse topics related to African research, literature, history, and current events.
The wording is one of the eight example requests in the Invent a Dataset technical report from Adaption Labs. This dataset is not affiliated with Adaption Labs and does not contain any of their output.
How it was made
- A blueprint was drafted from the request: topics, who asks, who answers, and the shapes a question can take.
- Unique combinations of topic, persona, shape, difficulty and length were sampled.
- For each combination, one message was written, then the reply.
- Rows were rejected for cut-off or degenerate text, for asking for many items at once, and for near-duplicate questions.
Generated with optillm.
Columns
prompt, completion, plus area, subtopic, topic, persona, shape, difficulty and language describing how each row was planned.
Quick numbers
- Rows: 195
- Distinct 3-grams in prompts: 0.86
- Average words per prompt: 50.7
- Average words per completion: 349.6
Limits
- Every row was written by a language model and has not been checked by a person. Replies can contain errors and invented facts. Check them before you train on this data or rely on it.
- Synthetic data repeats the habits and blind spots of the model that wrote it.
Make your own with DataInventor. License: Apache 2.0.