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README.md

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+---
+pretty_name: ScaleWoB VERL
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: train.parquet
+      - split: validation
+        path: validation.parquet
+  - config_name: easy
+    data_files:
+      - split: train
+        path: train_easy.parquet
+---
+
+# ScaleWoB VERL
+
+Private dataset package for browser-agent reinforcement learning with VERL, GiGPO, and the ScaleWoB runtime.
+
+## Contents
+
+| Config | Split | File | Rows | Environments |
+|---|---|---:|---:|---:|
+| `default` | train | `train.parquet` | 1,459 | 85 |
+| `default` | validation | `validation.parquet` | 162 | 66 |
+| `easy` | train | `train_easy.parquet` | 1,621 | 85 |
+
+The default train and validation splits have no overlapping `(env_id, task_id)` pairs. `train_easy.parquet` is an alternate all-task training file; unlike the default split, its records do not contain `split` or `has_params` metadata.
+
+## Schema
+
+Each row contains:
+
+- `data_source`: always `scalewob`.
+- `prompt`: chat-format user prompt consumed by VERL.
+- `extra_info.index`: source row index.
+- `extra_info.split`: `train` or `val` when present.
+- `extra_info.has_params`: task stratum when present.
+- `extra_info.scalewob.env_id`: environment identifier.
+- `extra_info.scalewob.task_id`: task identifier within the environment.
+- `extra_info.scalewob.description`: natural-language task instruction.
+
+See `metadata.json` for machine-readable row counts, checksums, and compatibility information.
+
+## Runtime dependency
+
+These Parquet files contain task metadata, not the browser assets. Use the matching private environment repository and pin both repositories to immutable tags or commits.
+
+Expected runtime versions for this package:
+
+- `scalewob==0.12.1`
+- `playwright==1.62.0`
+- Chromium `151.0.7922.34`
+- VERL `0.7.1`
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("<namespace>/scalewob-verl", name="default", token=True)
+train = dataset["train"]
+validation = dataset["validation"]
+```
+
+For training containers, downloading once on the host and mounting the resulting directory read-only is preferred over downloading independently in every worker.
+
+## Intended use and limitations
+
+Intended for private research on browser-agent reinforcement learning. Tasks operate on local simulated sites rather than live services. Task text may contain synthetic names, account identifiers, addresses, payment-like values, or other placeholders; do not interpret them as instructions to interact with real services.
+
+No public redistribution license is asserted by this package. Keep the repository private unless provenance, privacy, trademark, and redistribution rights have been reviewed.

SHA256SUMS

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+0b090462b091f09b1d46ba3d42840a89a0dc2b5e539394bae68f39521061f6e2  train.parquet
+a18f23f7525e81f370748c3e294a902e2c5aabfef20f198e768beee35d751f6a  train_easy.parquet
+ba58c4e9bfb6cee1c1fc66117551077a25a61c4155602afff0388b18cb06a686  validation.parquet

metadata.json

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+{
+  "package_version": "0.1.0",
+  "visibility": "private",
+  "data_source": "scalewob",
+  "schema_columns": [
+    "data_source",
+    "prompt",
+    "extra_info"
+  ],
+  "files": {
+    "train.parquet": {
+      "bytes": 94155,
+      "sha256": "0b090462b091f09b1d46ba3d42840a89a0dc2b5e539394bae68f39521061f6e2",
+      "rows": 1459,
+      "environment_count": 85,
+      "unique_task_count": 1459
+    },
+    "validation.parquet": {
+      "bytes": 17648,
+      "sha256": "ba58c4e9bfb6cee1c1fc66117551077a25a61c4155602afff0388b18cb06a686",
+      "rows": 162,
+      "environment_count": 66,
+      "unique_task_count": 162
+    },
+    "train_easy.parquet": {
+      "bytes": 103381,
+      "sha256": "a18f23f7525e81f370748c3e294a902e2c5aabfef20f198e768beee35d751f6a",
+      "rows": 1621,
+      "environment_count": 85,
+      "unique_task_count": 1621
+    }
+  },
+  "default_split_overlap_by_env_task": 0,
+  "compatible_runtime": {
+    "verl": "0.7.1",
+    "scalewob": "0.12.1",
+    "playwright": "1.62.0",
+    "chromium": "151.0.7922.34"
+  },
+  "environment_repository": "hysi-lab/scalewob-environments",
+  "environment_revision": "v0.1.0"
+}

train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0b090462b091f09b1d46ba3d42840a89a0dc2b5e539394bae68f39521061f6e2
+size 94155

train_easy.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a18f23f7525e81f370748c3e294a902e2c5aabfef20f198e768beee35d751f6a
+size 103381

validation.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ba58c4e9bfb6cee1c1fc66117551077a25a61c4155602afff0388b18cb06a686
+size 17648