add field info

README.md

@@ -29,3 +29,88 @@ configs:
   - split: train
     path: data/train-*
 ---
+---
+dataset_info:
+  features:
+  - name: user_input
+    dtype: string
+  - name: reference_contexts
+    list: string
+  - name: reference
+    dtype: string
+  - name: synthesizer_name
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 2755
+    num_examples: 5
+  download_size: 6075
+  dataset_size: 2755
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+license: mit
+task_categories:
+- question-answering
+language:
+- en
+tags:
+- ragas
+- golden-testset
+- rag-eval
+- personas
+pretty_name: RAGAS Golden Testset (Personas, AS-IS Schema)
+---
+
+# 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 challenges 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!