Card: restore Data.zip download+unzip step (media live in Data.zip); add Changelog

README.md

@@ -100,14 +100,30 @@ RyanWW/XModBench/
 ├── data/            # 10 JSONL files, one per raw modality combination
 │   ├── audio_text.jsonl  text_audio.jsonl  audio_image.jsonl  ...
 ├── data_lite/       # 6 JSONL — XModBench-Lite (a2t,a2v,t2a,t2v,v2a,v2t)
-├── Data/            # all media (audio .wav, images .jpg, videos .mp4)
+├── Data.zip         # ALL media (audio/image/video) — download + unzip → Data/
 ├── tasks/           # original per-subtask task definitions (JSON)
 └── eval_logs/       # released per-sample model outputs (reproduced via lmms-eval)
     └── <model>/<lite|full>/  samples_*.jsonl + summary.json
 ```
 
+> **Media live in `Data.zip`.** The JSONL question files (`data/`,
+> `data_lite/`) reference media by repo-relative paths like
+> `Data/vggss_audio_bench/xxx.wav`. Download and unzip `Data.zip` once so
+> those paths resolve. (`Data.zip` was rebuilt with Chapter-stripped
+> `emotions/` clips — a fix for a moviepy parsing crash; see Changelog.)
+
 ## Loading the data
 
+**1. Get the media** (one-time, ~30 GB):
+
+```bash
+huggingface-cli download RyanWW/XModBench Data.zip \
+    --repo-type dataset --local-dir .
+unzip Data.zip          # → ./Data/...   (matches the JSONL paths)
+```
+
+**2. Load the questions**:
+
 ```python
 from datasets import load_dataset
 
@@ -117,12 +133,13 @@ ds = load_dataset("RyanWW/XModBench", "audio_text", split="train")
 # XModBench-Lite (balanced 6k)
 lite = load_dataset("RyanWW/XModBench", "lite_a2t", split="train")
 
-# or stream a single file directly
-ds = load_dataset("json",
-     data_files="hf://datasets/RyanWW/XModBench/data/audio_text.jsonl",
-     split="train")
+# media path for the first item (resolve against the unzipped Data/)
+print(ds[0]["conditions"]["input"])   # e.g. Data/vggss_audio_bench/....wav
 ```
 
+The [lmms-eval port](https://github.com/XingruiWang/lmms-eval) handles the
+download + path resolution automatically — no manual unzip needed there.
+
 ### Sample schema
 
 ```json
@@ -202,6 +219,14 @@ Qwen2.5-Omni matches its full-set paper numbers within 5 points on every
 configuration. Full-set numbers for all 14 paper models are on the
 [project website](https://xingruiwang.github.io/projects/XModBench/#leaderboard).
 
+## Changelog
+
+- **2026-05**: `Data.zip` rebuilt — the `emotions/` MELD clips had MP4
+  *Chapter* metadata that crashed `moviepy`'s parser (used by some
+  evaluation backends). All emotion clips were re-muxed with
+  `ffmpeg -map_chapters -1` (video/audio streams untouched). Frame content
+  is identical; only the Chapter atom was removed. No other media changed.
+
 ## License
 
 Released under the **MIT License**. Media are redistributed for research use;