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license: apache-2.0
language:
- en
task_categories:
- text-classification
size_categories:
- 100K<n<1M
---
# JADE-Data
The 160,017 training examples used for [JADE](https://huggingface.co/theunnecessarythings/JADE).
Each example presents a world or context and asks for a decision. The corpus covers
reasoning, language, retrieval, tool selection, stateful actions, music, and
probabilistic forecasting. Examples are generated from programs, simulators,
solvers, and structured world state.
## Load the data
```python
import json
from huggingface_hub import hf_hub_download
path = hf_hub_download("theunnecessarythings/JADE-Data",
"train.jsonl", repo_type="dataset")
with open(path) as file:
for line in file:
example = json.loads(line)
# Use example["state"], example["question"], and example["label"].
```
## Format
`train.jsonl` contains 123,350 multiple-choice examples (`choice`) and 36,667
probabilistic yes/no examples (`noul`). Each record includes its ID, family, suite,
state, question, target, and source metadata. Multiple-choice targets use option
IDs; probabilistic targets retain their probabilities. Related examples share a
family ID.
This release contains the training split. Evaluation and calibration partitions
are kept separately. All training examples are synthetic; Decision Index and
JevBench benchmark records are not part of this corpus.
Licensed under Apache-2.0.
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