Add dataset card

README.md

@@ -1,32 +1,93 @@
 ---
-dataset_info:
-  features:
-  - name: context
-    dtype: string
-  - name: question
-    dtype: string
-  - name: answer_prefix
-    dtype: string
-  - name: answers
-    list: string
-  - name: task
-    dtype: string
-  - name: max_new_tokens
-    dtype: int64
-  splits:
-  - name: dev
-    num_bytes: 4836398
-    num_examples: 10
-  - name: test
-    num_bytes: 48364231
-    num_examples: 100
-  download_size: 633596
-  dataset_size: 53200629
-configs:
-- config_name: default
-  data_files:
-  - split: dev
-    path: data/dev-*
-  - split: test
-    path: data/test-*
+license: apache-2.0
+task_categories:
+- question-answering
+- text-generation
+language:
+- en
+tags:
+- long-context
+- rag
+- retrieval-augmented-generation
+- loft
+size_categories:
+- 1K<n<10K
 ---
+
+# LOFT RAG - Quest (128k)
+
+## Dataset Description
+
+This dataset is part of the LOFT (Long-context Open Foundation Tasks) benchmark, specifically the RAG (Retrieval-Augmented Generation) task.
+
+- **Dataset**: Quest
+- **Context Length**: 128k
+- **Task Type**: RAG (Retrieval-Augmented Generation)
+- **Language**: English
+- **Source**: LOFT Benchmark (Google DeepMind)
+
+## Dataset Structure
+
+### Data Fields
+
+- `context` (string): Full prompt context including corpus documents and few-shot examples
+- `question` (string): Query separator + query format + query text
+- `answer_prefix` (string): Prefix for answer generation ("Final Answer: ")
+- `answers` (list[string]): Ground truth answers
+- `task` (string): Task identifier (e.g., "quest_128k")
+- `max_new_tokens` (int64): Maximum tokens for generation (256)
+
+### Data Splits
+
+- `dev`: Development set (10 examples)
+- `test`: Test set (100 examples)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("loft-rag-quest-128k")
+
+# Access splits
+dev_data = dataset["dev"]
+df_dev = dev_data.to_pandas()
+test_data = dataset["test"]
+df_test = test_data.to_pandas()
+
+# Example usage
+sample = dataset["dev"][0] if "dev" in dataset else dataset["test"][0]
+context = sample["context"]
+question = sample["question"]
+answers = sample["answers"]
+```
+
+## Dataset Creation
+
+This dataset was converted from LOFT's original format to HuggingFace format using exact LOFT prompt construction to ensure 100% fidelity.
+
+- **Prompt Construction**: Uses LOFT's `PromptRegistry` and `concatenate_chunks()` for exact prompt matching
+- **Few-shot Examples**: Preserved exactly as in LOFT (5 examples)
+- **Corpus Documents**: Full corpus included in context (corpus-in-context approach)
+- **Verification**: All prompts verified to match LOFT originals exactly
+
+## Related Datasets
+
+All LOFT RAG datasets are available under the `loft-rag-*` namespace:
+- [Main Index](https://huggingface.co/datasets/loft/rag) - Overview of all datasets
+
+## Citation
+
+```bibtex
+@article{{loft2024,
+  title={{LOFT: Long-context Open Foundation Tasks}},
+  author={{Google DeepMind}},
+  year={{2024}},
+  url={{https://github.com/google-deepmind/loft}}
+}}
+```
+
+## License
+
+Apache 2.0