Upload Multimodal-Mind2Web batch 1

README.md

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+---
+license: other
+tags:
+- cua-lite
+- gui
+- sft
+task_categories:
+- image-text-to-text
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path:
+    - "*/*/train.parquet"
+    - "*/*/train/**.parquet"
+  - split: validation
+    path:
+    - "*/*/validation.parquet"
+    - "*/*/validation/**.parquet"
+- config_name: web-trajectory
+  data_files:
+  - split: train
+    path:
+    - "web/trajectory/train.parquet"
+    - "web/trajectory/train/**.parquet"
+  - split: validation
+    path:
+    - "web/trajectory/validation.parquet"
+    - "web/trajectory/validation/**.parquet"
+---
+
+# cua-lite/Multimodal-Mind2Web
+
+cua-lite preprocessed version of Multimodal-Mind2Web (osunlp/Multimodal-Mind2Web). Web trajectory data with upstream's canonical four-way split: train + three held-out test sets (test_task, test_website, test_domain) capturing successively harder generalization. The upstream split labels are preserved via metadata.others.split and routed into our validation split; the hash splitter never activates here.
+
+## Origin
+
+- [https://huggingface.co/datasets/osunlp/Multimodal-Mind2Web](https://huggingface.co/datasets/osunlp/Multimodal-Mind2Web)
+
+## Load via `datasets`
+
+```python
+from datasets import load_dataset
+
+# entire dataset
+ds = load_dataset("cua-lite/Multimodal-Mind2Web")
+
+# just one (platform, task_type) cohort
+ds = load_dataset("cua-lite/Multimodal-Mind2Web", "web-trajectory")
+```
+
+You can also filter by `metadata.platform` / `metadata.task_type` /
+`metadata.others.*` after loading; every row carries a rich `metadata`
+struct (see schema below).
+
+## Schema
+
+Each row has these columns:
+
+| column | type | notes |
+|---|---|---|
+| `image_ids` | list[string] | content-addressed ids (`<sha256>.<ext>`), enables cross-parquet / cross-dataset dedup |
+| `images` | list[Image] | bytes embedded at HF push time; matches `image_ids` index-for-index |
+| `messages` | list[struct] | OpenAI-style turns with `role` + structured `content` |
+| `metadata` | struct | `{platform, task_type, split, others{...}}` |
+
+Coordinate values in `messages` are normalized to `[0, 1000]` integers.
+
+## Layout
+
+```
+<platform>/<task_type>/<split>.parquet                   # single-variant cohort
+<platform>/<task_type>/<split>/<variant>.parquet         # multi-variant cohort
+<platform>/<task_type>/<split>/shard-NNNNN-of-NNNNN.parquet            # + sharded single-variant
+<platform>/<task_type>/<split>/<variant>/shard-NNNNN-of-NNNNN.parquet  # + sharded multi-variant
+```
+
+- `platform` ∈ {desktop, mobile, web}
+- `task_type` directory uses a hyphen where the metadata value uses a colon: `grounding-action/` → `grounding:action`
+- `split` ∈ {train, validation} — `validation` is an in-distribution held-out slice (never used in training); `test` is reserved for out-of-distribution benchmark datasets
+
+## Stats
+
+| platform | task_type | variant | train | validation |
+|---|---|---|---:|---:|
+| web | trajectory | test_domain | 0 | 478 |
+| web | trajectory | test_task | 0 | 99 |
+| web | trajectory | test_website | 0 | 83 |
+| web | trajectory | train | 602 | 0 |
+
+## Image storage
+
+Images are content-addressed by SHA-256 and deduplicated within this repo.
+The `images` column on HuggingFace embeds raw bytes so the Hub viewer
+renders thumbnails and `datasets.load_dataset` works out of the box.
+
+For local workflows (SFT export, cross-dataset dedup, split rebalancing),
+run [`reverse.py`](https://github.com/cua-lite/cua-lite/tree/main/scripts/hf_upload)
+on a cloned repo: it extracts each unique `image_id` once to a shared
+`image_store/<hash[:2]>/<hash>.<ext>` and rewrites the parquets to drop
+the `images` column, so rows reference images by hash id only.  The shared
+store is reusable across datasets — the same image in two repos lands in
+one file.
+
+- Total unique images: **7,423**
+- Store size: **7.09 GB**
+
+## Notes
+
+All three test splits are currently folded into our ``validation`` split. A future revision may promote test_website / test_domain to our canonical ``test`` split (out-of-distribution benchmark).
+
+## License & citation
+
+See original dataset (osunlp/Multimodal-Mind2Web)
+
+See https://huggingface.co/datasets/osunlp/Multimodal-Mind2Web

stats.json

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+{
+  "rows_in": 1262,
+  "rows_out": 1262,
+  "rows_dropped": 0,
+  "unique_images": 7423,
+  "image_store_bytes": 7091462842,
+  "by_partition": {
+    "web::trajectory::train::train": 602,
+    "web::trajectory::validation::test_domain": 478,
+    "web::trajectory::validation::test_task": 99,
+    "web::trajectory::validation::test_website": 83
+  }
+}

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