[{"id": 581264, "created": "2025-05-18T12:36:38.827161", "project_id": 258, "task_id": 609712, "user_id": 285, "user_ip": null, "finish_time": "2025-05-18T12:37:21.772991", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": "63270", "path": "/alt/vllms/exp_multimodal/data/hateful_memes_Xplain/img/63270.png", "text": "instead of wiping away your tears away the people who created them", "label": "not-hateful", "source": "hateful_en", "clarity": "clear", "image_url": "https://tanbih-dev.qcri.org/hateful_memes/img/63270.png", "pred_label": "not-hateful", "explanation": "The image shows a young child with tears, accompanied by text suggesting removing those who cause sadness rather than just addressing the symptoms. The visual of a crying child evokes empathy and highlights vulnerability. The text implies taking action against the source of distress, which can be interpreted as empowering rather than hateful. The human expert likely classified it as not-hateful because the message focuses on self-empowerment and protection rather than promoting harm or negativity towards others.", "instruction": "I will provide you with memes and the text extracted from these images. Your task is to classify the image as one of the following: 'hateful' or 'not-hateful' and provide a brief explanation. Start your response with 'Label:' followed by the classification label, then on a new line begin with 'Explanation:' and briefly state your reasoning.", "faithfulness": "faithful", "plausibility": "plausible", "informativeness": "informative", "generated_explanation": "The image shows a child crying, with text suggesting that instead of comforting the child, the people responsible for their tears should be addressed. The visual of a crying child evokes empathy and highlights the emotional distress. The text implies accountability for causing pain or distress, which can be interpreted as a call for justice or responsibility. The human expert likely classified it as not-hateful because it aims to provoke thought and empathy rather than promote hate, focusing on addressing the root cause of suffering rather than targeting individuals or groups with malice."}}, {"id": 581718, "created": "2025-05-19T05:20:00.367646", "project_id": 258, "task_id": 609712, "user_id": 273, "user_ip": null, "finish_time": "2025-05-19T05:20:20.572544", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": "63270", "path": "/alt/vllms/exp_multimodal/data/hateful_memes_Xplain/img/63270.png", "text": "instead of wiping away your tears away the people who created them", "label": "not-hateful", "source": "hateful_en", "clarity": "very_clear", "image_url": "https://tanbih-dev.qcri.org/hateful_memes/img/63270.png", "pred_label": "not-hateful", "explanation": "The image shows a young child with tears, accompanied by text suggesting removing those who cause sadness rather than just addressing the symptoms. The visual of a crying child evokes empathy and highlights vulnerability. The text implies taking action against the source of distress, which can be interpreted as empowering rather than hateful. The human expert likely classified it as not-hateful because the message focuses on self-empowerment and protection rather than promoting harm or negativity towards others.", "instruction": "I will provide you with memes and the text extracted from these images. Your task is to classify the image as one of the following: 'hateful' or 'not-hateful' and provide a brief explanation. Start your response with 'Label:' followed by the classification label, then on a new line begin with 'Explanation:' and briefly state your reasoning.", "faithfulness": "very_faithful", "plausibility": "highly_plausible", "informativeness": "very_informative", "generated_explanation": "The image shows a child crying, with text suggesting that instead of comforting the child, the people responsible for their tears should be addressed. The visual of a crying child evokes empathy and highlights the emotional distress. The text implies accountability for causing pain or distress, which can be interpreted as a call for justice or responsibility. The human expert likely classified it as not-hateful because it aims to provoke thought and empathy rather than promote hate, focusing on addressing the root cause of suffering rather than targeting individuals or groups with malice."}}]