---
dataset_info:
  features:
  - name: page_content
    dtype: string
  - name: metadata
    struct:
    - name: Judge Comments
      dtype: string
    - name: Judge Score
      dtype: string
    - name: Project Name
      dtype: string
    - name: Score
      dtype: string
    - name: row
      dtype: int64
    - name: source
      dtype: string
  splits:
  - name: train
    num_bytes: 16080
    num_examples: 50
  download_size: 9106
  dataset_size: 16080
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for ragas-usecase-raw-data

## Dataset Description

Source data used to generate [ragas-golden-testset-personas](https://huggingface.co/datasets/dwb2023/ragas-golden-testset-personas).  Refer to that dataset for additional information.

### Dataset Summary

Capturing here due to some initial challenges with the source data leading to downstream issues with synthetic data generation.  (Garbage In, Garbage Out...)

### Dataset Structure

The dataset consists of records following the standard LangChain `Document` format:

* `page_content` *(string)*:
  Raw text of the source record. Preserves original whitespace, punctuation, and line breaks.

* `metadata` *(struct)*:
  As-is metadata captured at ingestion (not normalized).

  * `Judge Comments` *(string)*: Free-text qualitative notes from a judge/evaluator.
  * `Judge Score` *(string)*: Score exactly as stored in source (e.g., `"4/5"`, `"Good"`, `"N/A"`).
  * `Project Name` *(string)*: Project/entry name from source.
  * `Score` *(string)*: Additional score field (distinct from `Judge Score`; may differ).
  * `row` *(int64)*: Original source row index (stable pointer back to raw data).
  * `source` *(string)*: Origin identifier (e.g., file name/path/URI).

> Notes: Encoding is UTF-8. Scores remain strings by design. Missing/empty fields may occur.

### Supported Tasks

This dataset is primarily intended for:

* **RAGAS test set generation & evaluation** (e.g., faithfulness, answer correctness)
* **Loading vector stores for RAG** (retriever benchmarking, recall/precision diagnostics)


## Additional Information

### Dataset Curators

The source dataset was curated by dwb2023 and the AI Makerspace team (refer to the citation below).

### Licensing Information

This dataset is released under the MIT License.

### Citation Information

If you use this dataset in your research, please cite the [AI Makerspace team](https://aimakerspace.io/the-ai-engineering-bootcamp/).  The original notebook and source data is based on their awesome course!