Add dataset card

README.md

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+---
+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.