| --- |
| configs: |
| - config_name: english_v1 |
| data_files: |
| - split: eval |
| path: data/english_v1/eval.parquet |
| - config_name: english_v2 |
| data_files: |
| - split: eval |
| path: data/english_v2/eval.parquet |
| - config_name: english_v3 |
| data_files: |
| - split: eval |
| path: data/english_v3/eval.parquet |
| - config_name: malayalam_v1 |
| data_files: |
| - split: eval |
| path: data/malayalam_v1/eval.parquet |
| - config_name: malayalam_v2 |
| data_files: |
| - split: eval |
| path: data/malayalam_v2/eval.parquet |
| - config_name: malayalam_v3 |
| data_files: |
| - split: eval |
| path: data/malayalam_v3/eval.parquet |
| - config_name: hindi_v1 |
| data_files: |
| - split: eval |
| path: data/hindi_v1/eval.parquet |
| - config_name: hindi_v2 |
| data_files: |
| - split: eval |
| path: data/hindi_v2/eval.parquet |
| - config_name: hindi_v3 |
| data_files: |
| - split: eval |
| path: data/hindi_v3/eval.parquet |
| language: |
| - en |
| - ml |
| - hi |
| license: apache-2.0 |
| --- |
| |
| # Amnesty QA Dataset |
|
|
| A grounded question-answering dataset for evaluating RAG (Retrieval-Augmented Generation) systems, created from reports collected from [Amnesty International](https://www.amnesty.org/en/research/). |
|
|
| This dataset is designed for testing and evaluating RAG pipelines with real-world human rights content. |
|
|
| ## Dataset Structure |
|
|
| Each sample contains: |
| - **user_input**: The question to be answered |
| - **reference**: Ground truth answer for evaluation |
| - **response**: Generated answer from the system |
| - **retrieved_contexts**: List of relevant context passages retrieved for answering the question |
|
|
| ## Example |
|
|
| ```python |
| { |
| 'user_input': 'Which private companies in the Americas are the largest GHG emitters according to the Carbon Majors database?', |
| 'reference': 'The largest private companies in the Americas that are the largest GHG emitters according to the Carbon Majors database are ExxonMobil, Chevron, and Peabody.', |
| 'response': 'According to the Carbon Majors database, the largest private companies in the Americas that are the largest GHG emitters are:\n\n1. Chevron Corporation (United States)\n2. ExxonMobil Corporation (United States)\n3. ConocoPhillips Company (United States)...', |
| 'retrieved_contexts': ['The private companies responsible for the most emissions during this period, according to the database, are from the United States: ExxonMobil, Chevron and Peabody.\nThe largest emitter amongst state-owned companies in the Americas is Mexican company Pemex, followed by Venezuelan company Petróleos de Venezuela, S.A.'] |
| } |
| ``` |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the default English dataset (recommended) |
| dataset = load_dataset("explodinggradients/amnesty_qa", "english_v3") |
| |
| # Access the evaluation split |
| eval_data = dataset["eval"] |
| |
| # Iterate through samples |
| for sample in eval_data: |
| question = sample["user_input"] |
| reference = sample["reference"] |
| contexts = sample["retrieved_contexts"] |
| # Your RAG evaluation code here |
| ``` |
|
|
| ## Available Languages |
|
|
| The dataset is available in three languages (all use the v3 schema): |
| - **English** (recommended): `english_v3` |
| - **Hindi**: `hindi_v3` |
| - **Malayalam**: `malayalam_v3` |
|
|
| ```python |
| # Load Hindi dataset |
| dataset = load_dataset("explodinggradients/amnesty_qa", "hindi_v3") |
| |
| # Load Malayalam dataset |
| dataset = load_dataset("explodinggradients/amnesty_qa", "malayalam_v3") |
| ``` |
|
|
| ## Dataset Splits |
|
|
| Only the `eval` split is available for this dataset, containing 20 carefully curated question-answer pairs. |
|
|
| ## Legacy Versions |
|
|
| > ⚠️ **Note**: Versions v1 and v2 are deprecated and maintained only for backwards compatibility. Please use v3 for all new projects. |
|
|
| <details> |
| <summary>Legacy version schemas (click to expand)</summary> |
|
|
| - **v1** (deprecated): `question`, `ground_truths` (list), `answer`, `contexts` |
| - **v2** (deprecated): `question`, `ground_truth` (string), `answer`, `contexts` |
|
|
| </details> |
|
|
| ## Citation |
|
|
| If you use this dataset in your research, please cite: |
|
|
| ```bibtex |
| @dataset{amnesty_qa, |
| title = {Amnesty QA: A RAG Evaluation Dataset}, |
| author = {Exploding Gradients}, |
| year = {2024}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/explodinggradients/amnesty_qa} |
| } |
| ``` |
|
|
| ## License |
|
|
| Apache 2.0 |
|
|