[{"id": 616884, "created": "2025-08-08T04:18:34.119170", "project_id": 294, "task_id": 649101, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T04:19:51.657754", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1331, "src": "we have used the continuous bag-of-words model of mikolov et al with a window size of eight by training the model with wikipedia text corpus , we obtained word embeddings for most of the lemmas and words contained in the vuamc .", "target": "we extract continuous vector representations for concepts using the continuous log-linear skipgram model of mikolov et al , trained on the 100m word british national corpus .", "clarity": "clear", "faithfulness": "moderately_faithful", "plausibility": "plausible", "informativeness": "informative"}}, {"id": 622183, "created": "2025-08-15T01:10:08.862627", "project_id": 294, "task_id": 649101, "user_id": 325, "user_ip": null, "finish_time": "2025-08-15T01:10:23.608323", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 1331, "src": "we have used the continuous bag-of-words model of mikolov et al with a window size of eight by training the model with wikipedia text corpus , we obtained word embeddings for most of the lemmas and words contained in the vuamc .", "target": "we extract continuous vector representations for concepts using the continuous log-linear skipgram model of mikolov et al , trained on the 100m word british national corpus .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "moderately_informative"}}]