Datasets

WebEvolver SFT data

Two JSONL collections for supervised fine-tuning the WebEvolver agent policy and web world model.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

Original source ↗Read as Markdown Record JSON

What is this resource?

Resource type: Datasets
Environment: web
Topics: web-navigation, world-models, imitation-learning
Record publication date: Not recorded
Evidence retrieved: 2026-10-18T04:35:17Z
Resource ID: url:e126bbd9729ebdaf05ab

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code: Not recorded
Data: MIT (Publisher dataset-card declaration for this release; it does not establish rights to all upstream screenshots, applications or source content.)
Document: Not recorded
Weights: Not recorded

License review notes

Data: Publisher dataset-card declaration for this release; it does not establish rights to all upstream screenshots, applications or source content. Source 1

Dataset profile

Supervision: agent-policy supervised fine-tuning, web-world-model supervised fine-tuning
Modalities: Not recorded
Formats: JSONL
Splits: Not recorded

Scale and counting units

Not recorded

Two purpose-specific files are released: webevolver_policy_sft.jsonl and webevolver_world_model_sft.jsonl. They are not assumed disjoint train/test splits, and no modality or example count is inferred from filenames alone.

Compare source-reviewed profiles

Recorded specifications

disabled: false
download url: https://huggingface.co/datasets/CognitiveKernel/WebEvolver/tree/13f4f45b359e138a45b1c89bd4e913298c586ca9
gated: false
hub id: CognitiveKernel/WebEvolver
hub revision: 13f4f45b359e138a45b1c89bd4e913298c586ca9
repository url: https://github.com/Tencent/SelfEvolvingAgent/tree/main/WebEvolver

Explore related topics

Web navigation World models Imitation learning

Scope and limitations

The card and public manifest identify separate policy-model and world-model JSONL files. No row total or complete record schema is documented in the inspected card; the files were not downloaded as training samples. MIT is the publisher’s data declaration.

Related resources

documented by: WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

editorial primary review
Retrieved 2026-10-18T04:35:17Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, licenses.data, details.dataset_profile.
Content fingerprint
36ccdce12c1b1512ad4b21326c5d0c0379c73e85f0b8150779d43240b54686de
editorial primary review
Retrieved 2026-10-18T04:33:29Z. Supports: identity, release_status, details.hub_id, details.hub_revision, details.gated, details.disabled, details.download_url, details.dataset_profile.
Content fingerprint
cbef3f8037405d311ed9fe8aa620ec3734f91c77ca8f4209fbe98167fb33bee8
editorial primary review
Retrieved 2026-10-18T04:27:14Z. Supports: details.repository_url.
Content fingerprint
447dfa1e52789f7f3f111e9e0d453fb1f9fd8bf2d7b858f28fbe21a2239b4b2e

Suggest a correction

Open a source-backed correction. Include this record ID and the original source. Read our editorial policy and coverage boundaries.