Update README.md

README.md

@@ -2,7 +2,7 @@
 license: apache-2.0
 language:
   - en
-pretty_name: Tiny QA Evaluation Dataset
+pretty_name: Tiny QA Benchmark (Original EN Core for TQB++)
 size_categories:
   - n<1K
 tags:
@@ -10,6 +10,7 @@ tags:
   - evaluation
   - benchmark
   - toy-dataset
+  - tqb++-core
 task_categories:
   - question-answering
 task_ids:
@@ -17,18 +18,26 @@ task_ids:
   - closed-book-qa
 ---
 
-# Tiny QA Evaluation Dataset
+# Tiny QA Benchmark (Original English Core for TQB++)
 
-A very small, general-knowledge QA set (52 examples) for quick sanity checks, pipeline smoke-tests, and demoing LLM evaluation workflows. Question–answer pairs covering geography, history, math, science, literature, and more. Each example includes:
+**This dataset (`vincentkoc/tiny_qa_benchmark`) is the original 52-item English Question-Answering set. It now serves as the immutable "gold standard" core for the expanded [Tiny QA Benchmark++ (TQB++)](https://huggingface.co/datasets/vincentkoc/tiny_qa_benchmark_pp) project.**
+
+The TQB++ project builds upon this core dataset by introducing a powerful synthetic generation toolkit, pre-built multilingual datasets, and a comprehensive framework for rapid LLM smoke testing.
+
+**For the full TQB++ toolkit, the latest research paper, multilingual datasets, and the synthetic generator, please visit:**
+*   **TQB++ Hugging Face Dataset Collection & Toolkit:** [vincentkoc/tiny_qa_benchmark_pp](https://huggingface.co/datasets/vincentkoc/tiny_qa_benchmark_pp)
+*   **TQB++ GitHub Repository (Code, Paper & Toolkit):** [vincentkoc/tiny_qa_benchmark_pp](https://github.com/vincentkoc/tiny_qa_benchmark_pp)
+
+This original dataset (`vincentkoc/tiny_qa_benchmark`) contains 52 hand-crafted general-knowledge QA pairs covering geography, history, math, science, literature, and more. It remains ideal for quick sanity checks, pipeline smoke-tests, and as a foundational component of TQB++. Each example includes:
 
 - **text**: the question prompt  
 - **label**: the “gold” answer  
 - **metadata.context**: a one-sentence fact  
 - **tags**: additional annotations (`category`, `difficulty`)
 
-It’s intentionally tiny (<100 KB, under 1 K examples) so you can iterate on data loading, evaluation scripts, or CI steps in under a second.
+It’s intentionally tiny (<100 KB) so you can iterate on data loading, evaluation scripts, or CI steps in under a second using these specific 52 items.
 
-## Supported Tasks and Formats
+## Supported Tasks and Formats (for this core dataset)
 
 - **Tasks**:  
   - Extractive QA  
@@ -37,7 +46,7 @@ It’s intentionally tiny (<100 KB, under 1 K examples) so you can iterate on da
 - **Splits**:  
   - `train` (all 52 examples)  
 
-## Languages
+## Languages (for this core dataset)
 
 - English (`en`)
 
@@ -45,7 +54,7 @@ It’s intentionally tiny (<100 KB, under 1 K examples) so you can iterate on da
 
 ### Data Fields
 
-Each example in `data/train.json` has:
+Each example in `data/train.json` (as loaded by `datasets`) has:
 
 | field               | type   | description                                  |
 |---------------------|--------|----------------------------------------------|
@@ -81,43 +90,47 @@ Each example in `data/train.json` has:
       "category": "math",
       "difficulty": "easy"
     }
-  },
+  }
+]
 ```
+*(Note: The actual file on the Hub might be a `.jsonl` file where each line is a JSON object, but `load_dataset` handles this.)*
 
 ## Data Splits
 
-Only one split:
+Only one split for this core dataset:
 
-- **train**: 52 examples, used for development and quick evaluation.
+- **train**: 52 examples, used for development, quick evaluation, and as the TQB++ core.
 
 ## Data Creation
 
 ### Curation Rationale
 
-“Tiny QA Eval” exists to:
+The "Tiny QA Benchmark" (this 52-item set) was originally created to:
 
 1. Smoke-test QA pipelines (loading, preprocessing, evaluation).  
 2. Demo Hugging Face Datasets integration in tutorials.  
 3. Verify model–eval loops run without downloading large corpora.
+4. **Serve as the immutable "gold standard" English core for the [Tiny QA Benchmark++ (TQB++)](https://huggingface.co/datasets/vincentkoc/tiny_qa_benchmark_pp) project.**
 
 ### Source Data
 
 Hand-crafted by the dataset creator from well-known, public-domain facts.
-Was developed as a dataset for sample projects to demonstrate [Opik](https://github.com/comet-ml/opik).
+It was initially developed as a dataset for sample projects to demonstrate [Opik](https://github.com/comet-ml/opik/) and now forms the foundational English core of TQB++.
 
 ### Annotations
 
-Self-annotated. Each `metadata.context` and `tags` field is manually created.
+Self-annotated. Each `metadata.context` and `tags` field is manually created for these 52 items.
 
 ## Usage
 
-Load with:
+Load this specific 52-item core dataset with:
 
 ```python
 from datasets import load_dataset
 
 ds = load_dataset("vincentkoc/tiny_qa_benchmark")
 print(ds["train"][0])
+# Expected output:
 # {
 #   "text": "What is the capital of France?",
 #   "label": "Paris",
@@ -130,28 +143,44 @@ print(ds["train"][0])
 #   }
 # }
 ```
+For accessing the full TQB++ suite, including multilingual packs and the synthetic generator, refer to the [TQB++ Hugging Face Dataset Collection](https://huggingface.co/datasets/vincentkoc/tiny_qa_benchmark_pp).
 
-## Considerations
+## Considerations for Use
 
-- **Not a benchmark**: Too few examples for statistical significance.  
-- **Do not train**: Use only for smoke-tests or demos.  
-- **No sensitive data**: All facts are public domain.
+*   **Immutable Core for TQB++:** This dataset is the stable, hand-curated English core of the TQB++ project. Its 52 items are not intended to change.
+*   **Not a Comprehensive Benchmark (on its own):** While excellent for quick checks, these 52 items are too few for statistically significant model ranking. For broader evaluation, use in conjunction with the TQB++ synthetic generator and its multilingual capabilities found at [vincentkoc/tiny_qa_benchmark_pp](https://huggingface.co/datasets/vincentkoc/tiny_qa_benchmark_pp).
+*   **Do Not Train:** Primarily intended for evaluation, smoke-tests, or demos.
+*   **No Sensitive Data:** All facts are public domain.
 
 ## Licensing
 
-Apache-2.0. See [LICENSE](LICENSE) for details.
+Apache-2.0. See the `LICENSE` file in the [TQB++ GitHub repository](https://github.com/vincentkoc/tiny_qa_benchmark_pp) for details (as this dataset is now part of that larger project).
 
 ## Citation
 
-If you use this dataset, please cite:
+If you use this specific 52-item core English dataset, please cite it. You can use the following BibTeX entry, which has been updated to reflect its role:
 
 ```bibtex
-@misc{koctinyqabenchmark,
+@misc{koctinyqabenchmark_original_core,
 	author       = { Vincent Koc },
-	title        = { tiny_qa_benchmark (Revision ff9143f) },
+	title        = { Tiny QA Benchmark (Original 52-item English Core for TQB++) },
 	year         = 2025,
 	url          = { https://huggingface.co/datasets/vincentkoc/tiny_qa_benchmark },
 	doi          = { 10.57967/hf/5417 },
 	publisher    = { Hugging Face }
 }
+```
+
+For the complete **Tiny QA Benchmark++ (TQB++)** project (which includes this core set, the synthetic generator, multilingual packs, and the associated research paper), please refer to and cite the TQB++ project directly:
+
+```bibtex
+@misc{koctinyqabenchmark_pp_dataset,
+  author       = {Vincent Koc},
+  title        = {Tiny QA Benchmark++ (TQB++) Datasets and Toolkit},
+  year         = {2025},
+  publisher    = {Hugging Face & GitHub},
+  doi          = {10.57967/hf/5531}, /* DOI for the TQB++ collection */
+  howpublished = {\\url{https://huggingface.co/datasets/vincentkoc/tiny_qa_benchmark_pp}},
+  note         = {See also: \\url{https://github.com/vincentkoc/tiny_qa_benchmark_pp}}
+}
 ```