Download README.md from Valen-Team/JevalKit_Datasets: direct link, hf CLI and curl.
- Browser
- Download file 5.76 kB
-
https://huggingface.co/datasets/Valen-Team/JevalKit_Datasets/resolve/main/README.md
- Command line
-
hf download hf://datasets/Valen-Team/JevalKit_Datasets/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Valen-Team/JevalKit_Datasets/resolve/main/README.md
pretty_name: JevalKit Datasets
license: other
license_name: upstream-dataset-specific-licenses
license_link: >-
https://huggingface.co/datasets/Valen-Team/JevalKit_Datasets/blob/main/README.md#sources-and-licenses
language:
- en
- zh
- de
- tr
tags:
- jev
- decision-making
- benchmark
- evaluation
- jevalkit
configs:
- config_name: VisualDecisionBench
data_files:
- split: test
path: datasets/VisualDecisionBench.tsv
sep: "\t"
keep_default_na: false
- config_name: VisualDecisionBench_Image
data_files:
- split: test
path: datasets/VisualDecisionBench_Image.tsv
sep: "\t"
keep_default_na: false
- config_name: VisualDecisionBench_Video
data_files:
- split: test
path: datasets/VisualDecisionBench_Video.tsv
sep: "\t"
keep_default_na: false
- config_name: JevBench
data_files:
- split: test
path: datasets/JevBench.tsv
sep: "\t"
keep_default_na: false
default: true
- config_name: DecisionIndex
data_files:
- split: test
path: datasets/DecisionIndex.tsv
sep: "\t"
keep_default_na: false
- config_name: TypedDecisions
data_files:
- split: test
path: datasets/TypedDecisions.tsv
sep: "\t"
keep_default_na: false
- config_name: DecisionBench
data_files:
- split: test
path: datasets/DecisionBench.tsv
sep: "\t"
keep_default_na: false
- config_name: ProceduralTypedDecisions
data_files:
- split: test
path: datasets/ProceduralTypedDecisions.tsv
sep: "\t"
keep_default_na: false
- config_name: ZhDecisionBench
data_files:
- split: test
path: datasets/ZhDecisionBench.tsv
sep: "\t"
keep_default_na: false
- config_name: JevAltBench
data_files:
- split: test
path: datasets/JevAltBench.tsv
sep: "\t"
keep_default_na: false
JevalKit Datasets
TSV evaluation datasets for JevalKit: 10 views across 8 benchmark families.
| Dataset / upstream source | Records | Questions | License |
|---|---|---|---|
| VisualDecisionBench | 1,696 | 9,143 | Per source dataset |
| VisualDecisionBench_Image | 1,402 | 2,000 | Per source dataset |
| VisualDecisionBench_Video | 294 | 7,143 | Per source dataset |
| JevBench | 231 | 231 | MIT |
| DecisionIndex | 140,178 | 312,320 | Per source dataset |
| TypedDecisions | 400 | 2,000 | Apache-2.0 |
| DecisionBench | 23,900 | 23,900 | Source-specific |
| ProceduralTypedDecisions | 18,000 | 57,016 | Apache-2.0 |
| ZhDecisionBench | 378 | 467 | CC-BY-4.0 |
| JevAltBench | 3,116 | 8,434 | Per-record licenses |
VisualDecisionBench combines the Image and Video views; these files overlap. All configurations expose a test evaluation split.
Usage
import json
from datasets import load_dataset
data = load_dataset("Valen-Team/JevalKit_Datasets", "JevBench", split="test")
request = json.loads(data[0]["request"])
targets = json.loads(data[0]["targets"])
Columns: index, request, targets, meta, assets. The last four contain JSON strings; each row holds one shared state and its questions.
Visual media are available from VisualDecisionBench; asset paths remain in the TSVs.
Download the ready-to-use TSVs with hf download Valen-Team/JevalKit_Datasets --repo-type dataset --include "datasets/*.tsv" --local-dir "$JEVALKIT_DATA_ROOT". JevalKit reads pinned sources, protocols and checksums from the manifests bundled in its benchmark directories; no local manifest or conversion is required. Visual media and Decision Index scoring inputs have separate downloads in the usage guide.
Sources and licenses
Dataset names above link to their upstream sources. Each dataset retains its original terms and attribution; record-level provenance remains in meta. ZhDecisionBench credits Amazon MASSIVE and CodyQin under CC-BY-4.0.
JevBench MIT notice
MIT License
Copyright (c) 2026 Florian Standhartinger and contributors
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.