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https://github.com/deepseek-ai/awesome-deepseek-integration.git
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800d05606f
This commit introduces a new project, `deepseek_content_moderation`, designed to detect sensitive content in text based on configurable keyword lists. Key features include: - Customizable categories of sensitive words stored in `config.json`. - A `Moderator` class (`moderator.py`) that loads the configuration and uses regex for case-insensitive, whole-word matching. - The `analyze_text` method returns a dictionary of triggered categories and the specific words found. - Comprehensive unit tests (`tests/test_moderator.py`) using pytest ensure the functionality of the `Moderator` class. - A detailed `README.md` provides an overview, setup instructions, usage examples, and testing guidelines. The project structure has been set up to be a valid Python package, with the main directory named `deepseek_content_moderation`. This project serves as a foundational component for applications requiring basic content filtering capabilities.
58 lines
1.2 KiB
JSON
58 lines
1.2 KiB
JSON
{
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"Profanity": [
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"swearword1",
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"vulgarterm1",
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"explicitlang1"
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],
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"HateSpeech": [
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"hatespeech_slur1",
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"derogatory_term1",
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"incitement_example1"
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],
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"DiscriminatoryLanguage": [
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"stereotype_example1",
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"biased_phrase1",
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"microaggression_example1"
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],
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"SexuallyExplicitLanguage": [
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"sexual_act_description1",
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"explicit_anatomical_term1",
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"suggestive_innuendo1"
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],
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"ViolenceGore": [
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"graphic_violence_desc1",
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"torture_example1",
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"weapon_for_harm1"
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],
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"SelfHarmSuicide": [
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"selfharm_method1",
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"suicidal_ideation_phrase1",
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"encouragement_selfharm1"
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],
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"IllegalActivities": [
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"drug_use_term1",
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"illegal_weapon_term1",
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"terrorism_related_term1"
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],
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"BlasphemyReligiousInsults": [
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"religious_insult1",
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"disrespectful_term_religion1",
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"offensive_to_belief1"
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],
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"MedicalMisinformation": [
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"unproven_medical_advice1",
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"dangerous_health_claim1",
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"harmful_pseudo_treatment1"
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],
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"PrivacyViolatingPII": [
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"personal_name_example",
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"address_example_term",
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"phone_number_example_term"
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],
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"OffensiveSlangCulturalInsults": [
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"cultural_slang_insult1",
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"derogatory_cultural_term1",
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"offensive_local_slang1"
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]
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}
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