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parquet/README.md

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+---
+license: cc-by-4.0
+pretty_name: Wonderbread
+task_categories:
+  - text-generation
+tags:
+  - web-agent
+  - bpm
+  - wonderbread
+configs:
+  - config_name: default
+    default: true
+    data_files:
+      - split: train
+        path: parquet/*.parquet
+    columns:
+      - workflow_id
+      - task_id
+      - intent
+      - site
+      - start_url
+      - sop
+  - config_name: full
+    data_files:
+      - split: train
+        path: parquet/*.parquet
+size_categories:
+  - 1K<n<10K
+---
+
+# Wonderbread (Text Only)
+
+`zstd`-compressed Parquet conversion of the JSON/Text traces from the [WONDERBREAD](https://wonderbread.stanford.edu/) dataset ([Paper](https://arxiv.org/abs/2406.13264), [Original Zenodo](https://zenodo.org/records/12671568)).
+
+The original text-only traces (7.4GB of JSON & SOP txt files) have been packed into a single Parquet file (172MB, **43x compression**). The highly repetitive AXTrees and HTML DOM structures in the dataset compress extremely efficiently.
+
+Data subsets:
+- `default` (viewer-safe): excludes the heavy `trace` JSON strings to prevent browser OOM on the Hugging Face dataset viewer.
+- `full`: includes all columns, including the raw DOM snapshots and action history in the `trace` column.
+
+## Dataset Structure
+
+Each row represents a single workflow demonstration:
+
+- `workflow_id` (string): The original trace ID including the timestamp (e.g., `102 @ 2023-12-27-00-57-01`)
+- `task_id` (int32): The parsed integer WebArena task ID (e.g., `102`)
+- `intent` (string): The natural language intent of the task (e.g., `What are the top-2 best-selling product in 2022`)
+- `site` (string): The WebArena site (e.g., `shopping_admin`)
+- `start_url` (string): The starting URL of the workflow
+- `sop` (string): The raw text of the Standard Operating Procedure (`SOP - ...txt`)
+- `trace` (string, **only in `full` config**): The raw stringified JSON array containing the DOM states and actions.
+
+## Usage
+
+```python
+from datasets import load_dataset
+import json
+
+# Lightweight subset (default, viewer-safe)
+ds = load_dataset("tkukurin/wonderbread")
+train_split = ds["train"]
+
+# Full dataset with the heavy JSON trace strings
+ds_full = load_dataset("tkukurin/wonderbread", "full")
+
+# Example: Parsing the JSON trace back into a list of steps
+sample_trace_str = ds_full["train"][0]["trace"]
+trace_list = json.loads(sample_trace_str)
+```
+
+## Citation
+```bibtex
+@inproceedings{wornow2024wonderbread,
+  title={WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks},
+  author={Wornow, Michael and others},
+  booktitle={arXiv preprint arXiv:2406.13264},
+  year={2024}
+}
+```

parquet/wonderbread.parquet

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