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refactor(data_pipeline): optimize data generation pipeline; add multiple preset configurations for data generation

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chenyongkang 2025-08-26 18:40:21 +08:00
parent 1a8477c8d8
commit 8d493b35a0
2160 changed files with 69199 additions and 154 deletions
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80
examples/pipelines/all_configs/korLogicDerivativeReasoningOfPropositionalLogic_train.json Normal file
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[
{
"apply_prob": 0.5,
"methods": [
"A",
"B",
"C"
],
"subjects": [
"natural numbers",
"products",
"college students",
"true revolutionaries",
"formally correct reasoning"
],
"predicates": [
"rational numbers",
"top-grade",
"patriots",
"upright and open",
"tested by practice"
]
},
{
"apply_prob": 0.5,
"methods": [
"A",
"B"
],
"subjects": [
"natural numbers",
"products",
"true revolutionaries"
],
"predicates": [
"rational numbers",
"top-grade",
"upright and open"
]
},
{
"apply_prob": 0.7,
"methods": [
"A",
"B",
"C"
],
"subjects": [
"natural numbers",
"products",
"college students",
"true revolutionaries",
"formally correct reasoning"
],
"predicates": [
"rational numbers",
"top-grade",
"patriots",
"upright and open",
"tested by practice"
]
},
{
"apply_prob": 0.6,
"methods": [
"B",
"C"
],
"subjects": [
"college students",
"true revolutionaries",
"formally correct reasoning"
],
"predicates": [
"patriots",
"upright and open",
"tested by practice"
]
}
]