Update README with related resource links and usage guide

README.md

@@ -1,7 +1,7 @@
 ---
 license: mit
 task_categories:
-- text-generation
+- text-retrieval
 language:
 - en
 size_categories:
@@ -32,3 +32,60 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+# MTR Document Collection
+
+**1,041,047** Wikipedia passages used as the retrieval corpus for the MTR benchmark.
+
+Part of [MTR-Suite](https://github.com/OkayestProgrammer/mtr-suite) (ACL 2026 Main).
+
+## Related Resources
+
+| Resource | Link | Description |
+|----------|------|-------------|
+| 📊 **MTR Benchmark** | [`OkayestProgrammer/MTR-BENCH`](https://huggingface.co/datasets/OkayestProgrammer/MTR-BENCH) | Original test set |
+| 🏋️ **MTR Training** | [`OkayestProgrammer/MTR-train`](https://huggingface.co/datasets/OkayestProgrammer/MTR-train) | Original training set |
+| 🆕 **12-Turn Dataset** | [`OkayestProgrammer/mtr-qwen35-fp8-12turn`](https://huggingface.co/datasets/OkayestProgrammer/mtr-qwen35-fp8-12turn) | 10K 12-turn conversations with topic switches |
+| 🔧 **Code** | [`OkayestProgrammer/mtr-suite`](https://github.com/OkayestProgrammer/mtr-suite) | Full pipeline code |
+
+## Columns
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `id` | string | Wikipedia article ID |
+| `url` | string | Source URL |
+| `title` | string | Article title |
+| `text` | string | Passage text (max 2048 chars) |
+| `edu_quality` | float | Educational quality score |
+| `naive_quality` | int | Naive quality label |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+docs = load_dataset("OkayestProgrammer/MTR-DOCUMENT", split="train")
+print(f"{len(docs)} documents")
+print(docs[0]["title"], "-", docs[0]["text"][:100])
+```
+
+## How this corpus is used
+
+The `ground_truth_document_idx` field in the MTR query datasets (e.g., `MTR-BENCH`, `mtr-qwen35-fp8-12turn`) is a **row index** into this document collection. During evaluation:
+
+1. Embed all 1,041,047 documents → build FAISS index
+2. Embed test queries → search the index
+3. Compare retrieved document indices against `ground_truth_document_idx`
+
+See the [eval guide](https://huggingface.co/datasets/OkayestProgrammer/mtr-qwen35-fp8-12turn#evaluation-with-mtr-suite) for step-by-step instructions.
+
+## Citation
+
+```bibtex
+@inproceedings{mtr-suite-2026,
+    title={MTR-Suite: A Data Synthesis Pipeline, Benchmark, and Models for Conversational Retrieval},
+    author={},
+    booktitle={Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)},
+    year={2026}
+}
+```