From 1a6e204f506ef1594b76b6ed846d10462682a033 Mon Sep 17 00:00:00 2001 From: Tyrin Todd Date: Fri, 24 Apr 2026 12:11:21 -0700 Subject: [PATCH] seed tyrin/go_emotions --- README.md | 5 ++++- config.json | 39 +++++++++++++++++++++++++++++++++++++++ program.json | 40 ++++++++++++++++++++++++++++++++++++++++ 3 files changed, 83 insertions(+), 1 deletion(-) create mode 100644 config.json create mode 100644 program.json diff --git a/README.md b/README.md index 498ad4d..c96afd0 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,5 @@ -# go_emotions +--- +{} +--- +# go_emotions \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..e3e27f5 --- /dev/null +++ b/config.json @@ -0,0 +1,39 @@ +{ + "model": null, + "signature": { + "description": "Reason step-by-step to determine the emotions expressed in the given text.\nAs you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.", + "properties": { + "text": { + "__dspy_field_type": "input", + "desc": "The text to be analyzed.", + "prefix": "Text:", + "title": "Text", + "type": "string" + }, + "reasoning": { + "__dspy_field_type": "output", + "desc": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant.", + "prefix": "Reasoning:", + "title": "Reasoning", + "type": "string" + }, + "labels": { + "__dspy_field_type": "output", + "desc": "Comma-separated emotion names from: admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire, disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness, optimism, pride, realization, relief, remorse, sadness, surprise, neutral. Use an empty string if no emotion is expressed.", + "items": { + "type": "string" + }, + "prefix": "Labels:", + "title": "Labels", + "type": "array" + } + }, + "required": [ + "text", + "reasoning", + "labels" + ], + "title": "EmotionJudgeSig", + "type": "object" + } +} \ No newline at end of file diff --git a/program.json b/program.json new file mode 100644 index 0000000..e4a64fe --- /dev/null +++ b/program.json @@ -0,0 +1,40 @@ +{ + "traces": [], + "train": [], + "demos": [], + "signature": { + "instructions": "Reason step-by-step to determine the emotions expressed in the given text.\nAs you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.", + "fields": [ + { + "prefix": "Text:", + "description": "The text to be analyzed." + }, + { + "prefix": "Reasoning:", + "description": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant." + }, + { + "prefix": "Labels:", + "description": "Comma-separated emotion names from: admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire, disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness, optimism, pride, realization, relief, remorse, sadness, surprise, neutral. Use an empty string if no emotion is expressed." + } + ] + }, + "lm": { + "model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo", + "model_type": "chat", + "cache": true, + "num_retries": 3, + "finetuning_model": null, + "launch_kwargs": {}, + "train_kwargs": {}, + "temperature": null, + "max_tokens": null + }, + "metadata": { + "dependency_versions": { + "python": "3.11", + "dspy": "3.2.0", + "cloudpickle": "3.1" + } + } +} \ No newline at end of file