[{"id": 617188, "created": "2025-08-08T07:19:52.966169", "project_id": 294, "task_id": 649379, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T07:20:20.421378", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1130, "src": "to address the latter problem , we avoid feature engineering and instead adopt convolutional architecture with piecewise max pooling to automatically learn relevant features .", "target": "to address the second problem , we adopt convolutional architecture to automatically learn relevant features without complicated nlp preprocessing .", "clarity": "clear", "faithfulness": "moderately_faithful", "plausibility": "plausible", "informativeness": "informative"}}, {"id": 626381, "created": "2025-08-18T02:43:27.335393", "project_id": 294, "task_id": 649379, "user_id": 325, "user_ip": null, "finish_time": "2025-08-18T02:43:39.100412", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1130, "src": "to address the latter problem , we avoid feature engineering and instead adopt convolutional architecture with piecewise max pooling to automatically learn relevant features .", "target": "to address the second problem , we adopt convolutional architecture to automatically learn relevant features without complicated nlp preprocessing .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "moderately_informative"}}]