File size: 2,585 Bytes
53f61e1 91888ae f91cefb 91888ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | ---
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! |