docs: add Data Formats section (raw/parquet/tsv) and TSV to structure

README.md

@@ -106,7 +106,7 @@ All 4,500 benchmark QA pairs and bounding boxes are **strictly annotated by ten
 MultihopSpatial/
 ├── README.md
 ├── teaser_2.png
-├── data/
+├── data/                              # Raw annotations + images
 │   ├── multihop_test_4500.json
 │   ├── multihop_train_6791.json
 │   └── images/
@@ -114,6 +114,43 @@ MultihopSpatial/
 │       ├── 000000022612.jpg
 │       ├── 01ce4fd6-197a-4792-8778-775b03780369_002114.jpeg
 │       └── ...
+├── parquet/                           # datasets-native (images embedded)
+│   ├── train-00000-of-00001.parquet
+│   └── test-00000-of-00001.parquet
+└── multihopspatial.tsv               # VLMEvalKit format (base64 images)
+```
+
+## Data Formats
+
+The same benchmark is shipped in three formats so it drops into different evaluation stacks without any conversion. **All three describe the identical 4,500 test samples** — pick whichever your tool expects.
+
+| Format | Files | Images | Primarily used by |
+|---|---|---|---|
+| **Raw JSON + images** | `data/*.json` + `data/images/` | separate `.jpg`/`.jpeg` files | Custom pipelines; the [`msrbench`](https://github.com/youngwanLEE/msrbench) training/benchmark scripts |
+| **Parquet** | `parquet/*.parquet` | embedded (raw bytes) | 🤗 `datasets` (`load_dataset`) and **[lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval)** |
+| **TSV** | `multihopspatial.tsv` | embedded (base64) | **[VLMEvalKit](https://github.com/open-compass/VLMEvalKit)** |
+
+> [!NOTE]
+> The Parquet and TSV files embed the **original image bytes verbatim** (no re-encoding), so grounding IoU is identical across harnesses. The `test` split is shared by the `default` and `benchmark` configs.
+
+### Parquet — 🤗 `datasets` / lmms-eval
+
+```python
+from datasets import load_dataset
+
+# Full dataset (train + test)
+ds = load_dataset("etri-vilab/MultihopSpatial")
+
+# Benchmark config (test split only) — used by the lmms-eval task
+bench = load_dataset("etri-vilab/MultihopSpatial", "benchmark", split="test")
+```
+
+### TSV — VLMEvalKit
+
+VLMEvalKit auto-downloads the TSV to `~/LMUData/` on first run:
+
+```bash
+python run.py --data MultihopSpatial --model <your_model>
 ```
 
 ## Usage