---
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: General customer support"
---

# DataInventor: General customer support

A synthetic instruction dataset of 200 rows in English, built with [DataInventor](https://huggingface.co/spaces/LocalLLaMA/data-inventor), 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

> A dataset of customer support inquiries and corresponding responses, covering issues such as product information, technical troubleshooting, billing disputes, and service returns.

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

1. A blueprint was drafted from the request: topics, who asks, who answers, and the shapes a question can take.
2. Unique combinations of topic, persona, shape, difficulty and length were sampled.
3. For each combination, one message was written, then the reply.
4. 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: 200
- Distinct 3-grams in prompts: 0.883
- Average words per prompt: 55.4
- Average words per completion: 337.4

## 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](https://huggingface.co/spaces/LocalLLaMA/data-inventor). License: Apache 2.0.