40 lines
1.6 KiB
JSON
40 lines
1.6 KiB
JSON
{
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"traces": [],
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"train": [],
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"demos": [],
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"signature": {
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"instructions": "Classify a news article into one of 8 financial/business topic categories.\n\nCategories:\n- acq: Mergers, acquisitions, corporate takeovers\n- crude: Oil, petroleum, crude oil markets\n- earn: Corporate earnings, financial results, profits\n- grain: Agriculture, grain commodities, crops\n- interest: Interest rates, central bank policy, borrowing\n- money-fx: Currency exchange, foreign exchange markets, monetary policy\n- ship: Shipping, maritime, freight, transportation\n- trade: International trade, tariffs, exports/imports\n\nFirst reason through your thought process in the `reasoning` field.\nConsider the main subject, key terms, and context of the article.\nBe sure to verbalize any uncertainty. Then output your conclusion.",
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"fields": [
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{
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"prefix": "Text:",
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"description": "The news article text to classify"
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},
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{
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"prefix": "Reasoning:",
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"description": "Your step by step reasoning about the article's topic. Verbalize uncertainty."
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},
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{
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"prefix": "Label:",
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"description": "The topic category of the article"
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}
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]
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},
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"lm": {
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"model": "together_ai/Qwen/Qwen3-VL-32B-Instruct",
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"model_type": "chat",
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"cache": true,
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"num_retries": 3,
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"finetuning_model": null,
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"launch_kwargs": {},
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"train_kwargs": {},
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"temperature": null,
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"max_tokens": null
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},
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"metadata": {
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"dependency_versions": {
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"python": "3.11",
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"dspy": "3.1.2",
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"cloudpickle": "3.1"
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}
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}
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} |