| --- |
| license: other |
| license_name: mixed-see-card |
| language: |
| - en |
| pretty_name: JEVWeb |
| tags: |
| - jev |
| - jev-alternative |
| - open-source-jev |
| - browser-agent |
| - web-navigation |
| - decision-model |
| - system-one |
| - distillation |
| - benchmark |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: mind2web |
| data_files: |
| - {split: train, path: mind2web/train.parquet} |
| - {split: validation, path: mind2web/validation.parquet} |
| - {split: test, path: mind2web/test.parquet} |
| - config_name: nnetnav_audited |
| data_files: |
| - {split: train, path: nnetnav_audited/train.parquet} |
| - {split: validation, path: nnetnav_audited/validation.parquet} |
| - {split: test, path: nnetnav_audited/test.parquet} |
| - config_name: webchain |
| data_files: |
| - {split: train, path: webchain/train.parquet} |
| - {split: validation, path: webchain/validation.parquet} |
| - {split: test, path: webchain/test.parquet} |
| - config_name: teacher_qwen3max |
| data_files: |
| - {split: train, path: teacher_qwen3max/train.parquet} |
| - {split: validation, path: teacher_qwen3max/validation.parquet} |
| - {split: test, path: teacher_qwen3max/test.parquet} |
| - config_name: teacher_glm |
| data_files: |
| - {split: train, path: teacher_glm/train.parquet} |
| - {split: validation, path: teacher_glm/validation.parquet} |
| - {split: test, path: teacher_glm/test.parquet} |
| - config_name: onpolicy_glm |
| data_files: |
| - {split: train, path: onpolicy_glm/train.parquet} |
| - {split: validation, path: onpolicy_glm/validation.parquet} |
| - {split: test, path: onpolicy_glm/test.parquet} |
| - config_name: bench |
| data_files: |
| - {split: test, path: bench/test.parquet} |
| - config_name: live_tasks |
| data_files: |
| - {split: train, path: live_tasks/train.parquet} |
| - {split: test, path: live_tasks/test.parquet} |
| --- |
| |
| # JEVWeb |
|
|
| JEV-format views of [OpenJev-Data](https://huggingface.co/datasets/alanhuangya/OpenJev-Data): the same browser |
| steps, one folder per config, each step unwrapped into the three parts a decision model actually consumes. |
|
|
| Where OpenJev-Data stores a step as the full `POST /v1/systemone` request in a single `request` JSON string plus |
| flat metadata columns, every row here is `state` / `questions` / `gold`. The JSONL files keep the native nesting; |
| the parquet files carry the same objects as JSON strings, because a typed struct would inject null keys the source |
| omits (elements without `value`/`options`) into training prompts. Nothing else is added or dropped: every request in |
| the source splits back into these columns unchanged. |
|
|
| ## Load it |
|
|
| ```python |
| from datasets import load_dataset |
| |
| m2w = load_dataset("xiq/jevweb", "mind2web") # human steps, split by website |
| nnetnav = load_dataset("xiq/jevweb", "nnetnav_audited") # live-web steps with audited DONE labels |
| webchain = load_dataset("xiq/jevweb", "webchain") # human steps on 200+ live sites |
| qwen = load_dataset("xiq/jevweb", "teacher_qwen3max") # qwen3-max acting as System One |
| glm = load_dataset("xiq/jevweb", "teacher_glm") # GLM-5.3-Flash acting as System One |
| onpolicy = load_dataset("xiq/jevweb", "onpolicy_glm") # student-visited states, GLM labels |
| bench = load_dataset("xiq/jevweb", "bench", split="test") # OpenJev-Bench, frozen |
| tasks = load_dataset("xiq/jevweb", "live_tasks", split="test") # 153 end-to-end eval tasks |
| ``` |
|
|
| ## Configs |
|
|
| | Config | Rows (train / validation / test) | Source | |
| |---|---|---| |
| | `mind2web` | 5,861 / 586 / 875 | [Mind2Web](https://huggingface.co/datasets/osunlp/Mind2Web) | |
| | `nnetnav_audited` | 11,408 / 1,140 / 1,150 | [NNetNav-live](https://huggingface.co/datasets/stanfordnlp/nnetnav-live), stopping labels audited | |
| | `webchain` | 17,876 / 1,069 / 1,589 | [WebChain](https://huggingface.co/datasets/webagentlab/webchain) v2 | |
| | `teacher_qwen3max` | 4,781 / 385 / 57 | qwen3-max as the System One of jev-ultrafast on live sites | |
| | `teacher_glm` | 5,969 / 370 / 147 | GLM-5.3-Flash in the same role | |
| | `onpolicy_glm` | 5,782 / 275 / 119 | DAgger-style: student or teacher acts, GLM teacher labels | |
| | `bench` | 2,346 test | OpenJev-Bench: frozen test steps from the configs above | |
| | `live_tasks` | 1,402 / – / 153 | goals + start URLs, shipped unchanged (see below) | |
|
|
| Each split is also available as JSONL next to its parquet (`webchain/train.jsonl`, same rows, same order). |
|
|
| ## Columns |
|
|
| Step configs (all but `live_tasks`): |
|
|
| | Column | Meaning | |
| |---|---| |
| | `state` | JSON string: `page` (url, title, visible text), `elements` (the 8–40 candidate elements offered), `recent_actions` | |
| | `questions` | JSON string: the typed questions for this step — `operation`, plus a target question (`click_target`, `type_text_target` or `select_target`) for each operation that needs one, each with its instructions and criteria | |
| | `gold` | JSON string: the gold option key per labelled question, e.g. `{"operation": "CLICK", "click_target": "7"}` | |
|
|
| `live_tasks` keeps the source columns `id`, `url`, `goal`, `source`: a goal and a start URL, no page state. These |
| rows cannot be expressed as `state` / `questions` / `gold` — the request only exists once an agent has visited the |
| site and the page has been parsed into elements. The 153 `test` tasks are the held-out end-to-end suite. |
|
|
| A step is answered correctly when the operation and, if the operation takes one, its target both match. Targets are |
| chosen among the candidates listed in the state, not among every element on the page. To replay a step against a |
| System One endpoint, rebuild the request from the two objects: |
| `{"state": json.loads(row["state"]), "questions": json.loads(row["questions"])}`. |
|
|
| ## Terms |
|
|
| Row provenance, licences, the redaction pass and the auditing of the stopping labels are described in the |
| [OpenJev-Data card](https://huggingface.co/datasets/alanhuangya/OpenJev-Data), which this repo re-expresses rather |
| than replaces. Mind2Web-derived rows are CC BY 4.0, NNetNav-derived rows Apache-2.0, WebChain-derived rows |
| CC BY 4.0; teacher, on-policy and live-task rows contain text captured from public websites and remain subject to |
| those sites' terms and to the labelling models' provider terms. Treat them as research data and check the |
| applicable terms before any commercial use. Please cite OpenJev-Data and the original datasets, as that card does. |
|
|
