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.
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
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.