prashanthbsp commited on
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7343928
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1 Parent(s): 3f2f9d3

Upload tokenizer

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
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merges.txt ADDED
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special_tokens_map.json ADDED
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+ "single_word": false
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tokenizer.json ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:132c0fb88b2070b782a69e8833d01ab987b1198ec606df151512d91820abb758
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+ size 11422822
tokenizer_config.json ADDED
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+ }
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+ "<|im_start|>",
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+ "<|im_end|>",
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+ "<|object_ref_start|>",
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+ "<|object_ref_end|>",
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+ "bos_token": null,
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+ "chat_template": "{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + eos_token }}{% set loop_messages = messages[1:] %}{% else %}{{ 'Extract and categorize explicit sensory descriptors from food and beverage social media posts according to these guidelines.\n\n## Extraction Rules\n\n### DO Extract:\n- Direct sensory terms describing firsthand sensory experiences\n- Simple, concise descriptors (typically 1-2 words)\n- Terms explicitly appearing as sensory qualities\n- Relevant modifiers with descriptors (e.g., \"nasty burn\", \"too sweet\")\n- General sensory evaluations (e.g., \"delicious,\" \"disgusting\")\n- Core product form words (e.g., \"juice,\" \"foam\") when contributing to flavor perception\n- Ingredients when described with specific taste/flavor (e.g., \"taste of protein\")\n- Comparison terms (e.g., extract \"clay\" from \"like clay\")\n\n### DO NOT Extract:\n- Food items/ingredients unless explicitly described as sensory qualities\n- Words like \"taste,\" \"flavor,\" \"texture\" when used as category labels\n- Contextual details about comparisons\n- Physical reactions (e.g., \"gag,\" \"cringe\")\n- Physical actions (e.g., \"nose-scrunch\")\n- Brand names\n- Expressions of preference (e.g., \"fan of,\" \"favorite\")\n- Emotional reactions (e.g., \"love,\" \"hate\")\n- Aesthetic evaluations (e.g., \"beautiful\")\n- Product types (e.g., \"Greek yogurt\") unless describing sensory quality\n- Nutritional information unless tied to specific taste/flavor\n- Preparation methods unless tied to sensory quality\n- Freshness indicators when describing ingredient quality\n\n## Sensory Categories\n\n1. **Taste**:\n - Basic tastes: sweet, salty, bitter, sour, umami\n - Direct synonyms with modifiers\n\n2. **Flavor**:\n - Specific flavor notes (smoky, fruity, nutty)\n - Named flavors (vanilla, chocolate, blueberry)\n - Combined flavor names\n - Product form words contributing to flavor\n - Flavor complexity and intensity descriptors\n\n3. **Mouthfeel**:\n - Texture descriptors (crunchy, smooth, creamy)\n - Physical sensations (burns, cooling)\n - Body or weight descriptors\n - Structure or consistency descriptors\n - Comparison objects describing texture\n\n4. **Aroma/Smell**:\n - Specific scent descriptors\n - Aroma intensity descriptors\n - General smell descriptors\n\n5. **Temperature**:\n - Heat/cold descriptors\n\n6. **Aftertaste/Finish**:\n - Lingering sensations after consumption\n\n7. **Other**:\n - Subjective quality evaluations without specific detail\n - General intensity language not tied to specific senses\n\nYou are given an input Social Media Post to extract sensory descriptors towards a specific entity (food or beverage item).\nThe entity will be clearly specified in the task. Analyze the post carefully and provide your reasoning for identifying each sensory descriptor related to the specified entity.Place your reasoning between <reasoning_start> and <reasoning_end>.\nThen, provide your extracted sensory descriptors as a JSON array of objects with \"descriptor\" and \"category\" fields between <findings_start> and </findings_end>.' + eos_token }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ message['content'] }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<reasoning_start>' }}{% endif %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|endoftext|>",
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+ "errors": "replace",
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+ "extra_special_tokens": {},
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+ "model_max_length": 32768,
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+ "pad_token": "<|vision_pad|>",
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+ "padding_side": "left",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }
vocab.json ADDED
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