Hi everyone,
\nFor people like me who started recently working on this problem and need to catch up, I am sharing my summary of discussions that have happened so far. I read all the discussions and tried to keep it as relevant as possible to move forward.
\nHi everyone,
\nFor people like me who started recently working on this problem and need to catch up, I am sharing my summary of discussions that have happened so far. I read all the discussions and tried to keep it as relevant as possible to move forward.
\nQuick summary of discussions should be a Kaggle feature powered by an LLM model
", "rawMarkdown": "Quick summary of discussions should be a Kaggle feature powered by an LLM model", "votes": 7, "replies": [ { "id": 2501463, "postDate": "2023-10-27T13:20:25.533Z", "content": "+1, because I went through all of them one by one 🤣
\nSounds like a nice side project.
", "rawMarkdown": "+1, because I went through all of them one by one 🤣\n\nSounds like a nice side project.", "votes": 3, "replies": [ { "id": 2501471, "postDate": "2023-10-27T13:24:55.870Z", "content": "Yeah, I mean there are also votes attached to them. They can be ranked as well to bring the most relevant ones.
", "rawMarkdown": "Yeah, I mean there are also votes attached to them. They can be ranked as well to bring the most relevant ones.", "votes": 4 } ] } ] }, { "id": 2503848, "postDate": "2023-10-29T14:02:17.343Z", "content": "@snnclsr, thank you, it was really helpful!
", "rawMarkdown": "@snnclsr, thank you, it was really helpful!", "votes": 1 }, { "id": 2499771, "postDate": "2023-10-26T08:18:13.853Z", "content": "thanx for sharing us these things and this works on me @snnclsr
", "rawMarkdown": "thanx for sharing us these things and this works on me @snnclsr ", "votes": 1 }, { "id": 2499676, "postDate": "2023-10-26T07:10:44.340Z", "content": "Nice working summary @snnclsr
", "rawMarkdown": "Nice working summary @snnclsr ", "votes": 1 }, { "id": 2497069, "postDate": "2023-10-24T12:38:00.413Z", "content": "Thanks for sharing, its very useful buddy @snnclsr
", "rawMarkdown": "Thanks for sharing, its very useful buddy @snnclsr ", "votes": 1 }, { "id": 2531667, "postDate": "2023-11-20T12:11:57.717Z", "content": "@snnclsr : Hey Sinan, thanks for the nice summary of the key findings for this contest.
\nSpecial thanks for 'featuring' the EDA notebook I prepared back in days :-)
\nGood luck in the competition!
", "rawMarkdown": "@snnclsr : Hey Sinan, thanks for the nice summary of the key findings for this contest.\n\nSpecial thanks for 'featuring' the EDA notebook I prepared back in days :-)\n\nGood luck in the competition!" }, { "id": 2500516, "postDate": "2023-10-26T17:59:06.983Z", "rawMarkdown": "", "votes": 1, "isDeleted": true }, { "id": 2498888, "postDate": "2023-10-25T15:32:22.030Z", "content": "Thank you for sharing the information!
", "rawMarkdown": "Thank you for sharing the information!", "votes": 1 }, { "id": 2496806, "postDate": "2023-10-24T09:12:56.277Z", "content": "Thank you for summarization.
", "rawMarkdown": "Thank you for summarization.", "votes": 1 }, { "id": 2493629, "postDate": "2023-10-23T14:02:38.813Z", "content": "@Sinan Thank you for sharing this
", "rawMarkdown": "@Sinan Thank you for sharing this ", "votes": 1 }, { "id": 2539111, "postDate": "2023-11-26T18:18:59.547Z", "content": "Thanks for your sharing~🎉
", "rawMarkdown": "Thanks for your sharing~🎉" } ], "comments": [ { "id": 2500814, "author_name": "Tolga", "author_url": "", "post_date": "2023-10-27T03:25:06.127000", "content": "Quick summary of discussions should be a Kaggle feature powered by an LLM model
", "votes": 7, "replies": [ { "id": 2501463, "author_name": "Sinan Calisir", "author_url": "", "post_date": "2023-10-27T13:20:25.533000", "content": "+1, because I went through all of them one by one 🤣
\nSounds like a nice side project.
", "votes": 3, "replies": [ { "id": 2501471, "author_name": "Tolga", "author_url": "", "post_date": "2023-10-27T13:24:55.870000", "content": "Yeah, I mean there are also votes attached to them. They can be ranked as well to bring the most relevant ones.
", "votes": 4, "replies": [] } ] } ] }, { "id": 2503848, "author_name": "Demyan Pavlyshenko", "author_url": "", "post_date": "2023-10-29T14:02:17.343000", "content": "@snnclsr, thank you, it was really helpful!
", "votes": 1, "replies": [] }, { "id": 2499771, "author_name": "Sameer", "author_url": "", "post_date": "2023-10-26T08:18:13.853000", "content": "thanx for sharing us these things and this works on me @snnclsr
", "votes": 1, "replies": [] }, { "id": 2499676, "author_name": "Tariq Mahmood", "author_url": "", "post_date": "2023-10-26T07:10:44.340000", "content": "Nice working summary @snnclsr
", "votes": 1, "replies": [] }, { "id": 2497069, "author_name": "VK", "author_url": "", "post_date": "2023-10-24T12:38:00.413000", "content": "Thanks for sharing, its very useful buddy @snnclsr
", "votes": 1, "replies": [] }, { "id": 2531667, "author_name": "Georgii Vyshnia", "author_url": "", "post_date": "2023-11-20T12:11:57.717000", "content": "@snnclsr : Hey Sinan, thanks for the nice summary of the key findings for this contest.
\nSpecial thanks for 'featuring' the EDA notebook I prepared back in days :-)
\nGood luck in the competition!
", "votes": 0, "replies": [] }, { "id": 2500516, "author_name": "", "author_url": "", "post_date": "2023-10-26T17:59:06.983000", "content": "", "votes": 1, "replies": [] }, { "id": 2498888, "author_name": "Xiao-Su (Frank) Hu", "author_url": "", "post_date": "2023-10-25T15:32:22.030000", "content": "Thank you for sharing the information!
", "votes": 1, "replies": [] }, { "id": 2496806, "author_name": "", "author_url": "", "post_date": "2023-10-24T09:12:56.277000", "content": "Thank you for summarization.
", "votes": 1, "replies": [] }, { "id": 2493629, "author_name": "Mohammad Aves Malik", "author_url": "", "post_date": "2023-10-23T14:02:38.813000", "content": "@Sinan Thank you for sharing this
", "votes": 1, "replies": [] }, { "id": 2539111, "author_name": "Zero-coder", "author_url": "", "post_date": "2023-11-26T18:18:59.547000", "content": "Thanks for your sharing~🎉
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "2493362": "Hi everyone,\n\nFor people like me who started recently working on this problem and need to catch up, I am sharing my summary of discussions that have happened so far. I read all the discussions and tried to keep it as relevant as possible to move forward.\n\n#### Problem Definition\n- Nature of the problem (1): https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/437442\n- Nature of the problem (2): https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/437534\n\n#### Dataset\n- dtype updates: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/440170\n- Fast data access (grouped by series id): https://www.kaggle.com/code/tolgadincer/sleep-state-fast-data-access-with-parquet\n\n#### Papers/Models/Approaches\n- Papers With Code: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/437274/\n- A Deep Learning Approach: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/441470\n- RNN Critical Point Baselines: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/448288\n\n#### Visualization\n- Visualization (1): https://www.kaggle.com/code/mitsuyasuhoshino/cmi-detectsleepstates-eda-visualization\n- Visualization (2): https://www.kaggle.com/code/gvyshnya/to-sleep-or-not-to-sleep-deep-eda-dive\n- Visualization (3): https://www.kaggle.com/code/patrick0302/viz-of-sleeping-time-series\n- Evaluation Metric: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/438936\n- Sleepless Periods: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/441638\n\n#### Dataset Issues\n- Timezone issues & Duplicated entries: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/437998\n- Duplicate data: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/438127\n- Correction in the dataset: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/437920#2436768\n \n#### Important to take a look in deep\n- strange pattern of true events: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/444374\n- Follow up on above: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/446919\n\n#### Misc.\n- Webinar: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/446125\n- CV vs LB: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/447882\n- Denoising with FFT: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/448295", "2500814": "Quick summary of discussions should be a Kaggle feature powered by an LLM model", "2503848": "@snnclsr, thank you, it was really helpful!", "2499771": "thanx for sharing us these things and this works on me @snnclsr ", "2499676": "Nice working summary @snnclsr ", "2497069": "Thanks for sharing, its very useful buddy @snnclsr ", "2531667": "@snnclsr : Hey Sinan, thanks for the nice summary of the key findings for this contest.\n\nSpecial thanks for 'featuring' the EDA notebook I prepared back in days :-)\n\nGood luck in the competition!", "2500516": "", "2498888": "Thank you for sharing the information!", "2496806": "Thank you for summarization.", "2493629": "@Sinan Thank you for sharing this ", "2539111": "Thanks for your sharing~🎉" } }