{ "id": 510572, "title": "What are the column names in test.csv? [Solved]", "url": "/competitions/uspto-explainable-ai/discussion/510572", "author_name": "", "post_date": "2024-06-06T16:48:08.202290900Z", "votes": 6, "comment_count": 4, "views": 0, "content": "

Hi @addisonhoward @sohier,

\n

The column names in test.csv are described as below, but the following code threw an exception. It works fine for the dummy test.csv. Is the description incorrect?

\n
\n

test.csv A subset of nearest_neighbors.csv that will cover 2,500 patents in the hidden dataset.

\n

publication_number - Only patents published on or after 1975 were included in this column.
\n target_[N] - These columns specify which patents your query should yield.

\n
\n

code: (https://www.kaggle.com/code/ryotayoshinobu/uspto-debug/notebook)

\n
 polars  pl\n\ntest = pl.read_csv()\ncolumns = ([] + [  i  ()])\n\n (test.columns) != (columns):\n    \n    \n (test.columns) != :\n    \n    \n:\n    pl.read_csv().write_csv()\n
\n

result:
\n

", "messages": [ { "id": "2858822", "postDate": "06/06/2024 16:48:08", "content": "

Hi @addisonhoward @sohier,

\n

The column names in test.csv are described as below, but the following code threw an exception. It works fine for the dummy test.csv. Is the description incorrect?

\n
\n

test.csv A subset of nearest_neighbors.csv that will cover 2,500 patents in the hidden dataset.

\n

publication_number - Only patents published on or after 1975 were included in this column.
\n target_[N] - These columns specify which patents your query should yield.

\n
\n

code: (https://www.kaggle.com/code/ryotayoshinobu/uspto-debug/notebook)

\n
 polars  pl\n\ntest = pl.read_csv()\ncolumns = ([] + [  i  ()])\n\n (test.columns) != (columns):\n    \n    \n (test.columns) != :\n    \n    \n:\n    pl.read_csv().write_csv()\n
\n

result:
\n

", "rawMarkdown": "Hi @addisonhoward @sohier,\n\nThe column names in test.csv are described as below, but the following code threw an exception. It works fine for the dummy test.csv. Is the description incorrect? \n\n> test.csv A subset of nearest_neighbors.csv that will cover 2,500 patents in the hidden dataset.\n\n> `publication_number` - Only patents published on or after 1975 were included in this column.\n> `target_[N]` - These columns specify which patents your query should yield.\n\ncode: (https://www.kaggle.com/code/ryotayoshinobu/uspto-debug/notebook)\n```\nimport polars as pl\n\ntest = pl.read_csv(\"/kaggle/input/uspto-explainable-ai/test.csv\")\ncolumns = set([\"publication_number\"] + [f\"target_{i}\" for i in range(50)])\n\nif set(test.columns) != set(columns):\n # exception\n raise\nelif len(test.columns) != 51:\n # submission.csv not found\n pass\nelse:\n pl.read_csv(\"/kaggle/input/uspto-explainable-ai/sample_submission.csv\").write_csv(\"submission.csv\")\n```\n\nresult:\n", "votes": null }, { "id": "2859782", "postDate": "06/07/2024 08:41:04", "content": "

The data description has several inconsistencies and at this point I've embraced that dealing with them is part of the competition.

\n

(it should not be)

", "rawMarkdown": "The data description has several inconsistencies and at this point I've embraced that dealing with them is part of the competition.\n\n(it should not be)", "votes": null }, { "id": "2859812", "postDate": "06/07/2024 09:15:28", "content": "

I completely agree. The task is very interesting, but first we need to understand the dataset properly.

", "rawMarkdown": "I completely agree. The task is very interesting, but first we need to understand the dataset properly.", "votes": null }, { "id": "2865578", "postDate": "06/10/2024 20:03:34", "content": "

Sorry about that. I see the issue and am uploading a patch now. It will probably take another couple of hours for the update to go live.

", "rawMarkdown": "Sorry about that. I see the issue and am uploading a patch now. It will probably take another couple of hours for the update to go live.", "votes": null }, { "id": "2866158", "postDate": "06/11/2024 07:01:15", "content": "

Thank you! I have confirmed that the above code passes without errors.

", "rawMarkdown": "Thank you! I have confirmed that the above code passes without errors.", "votes": null } ], "comments": [ { "id": 2859782, "author_name": "theoviel", "author_url": "", "post_date": "06/07/2024 08:41:04", "content": "

The data description has several inconsistencies and at this point I've embraced that dealing with them is part of the competition.

\n

(it should not be)

", "votes": null, "replies": [ { "id": 2859812, "author_name": "ryotayoshinobu", "author_url": "", "post_date": "06/07/2024 09:15:28", "content": "

I completely agree. The task is very interesting, but first we need to understand the dataset properly.

", "votes": null, "replies": [] } ] }, { "id": 2865578, "author_name": "sohier", "author_url": "", "post_date": "06/10/2024 20:03:34", "content": "

Sorry about that. I see the issue and am uploading a patch now. It will probably take another couple of hours for the update to go live.

", "votes": null, "replies": [ { "id": 2866158, "author_name": "ryotayoshinobu", "author_url": "", "post_date": "06/11/2024 07:01:15", "content": "

Thank you! I have confirmed that the above code passes without errors.

", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "2858822": "Hi @addisonhoward @sohier,\n\nThe column names in test.csv are described as below, but the following code threw an exception. It works fine for the dummy test.csv. Is the description incorrect? \n\n> test.csv A subset of nearest_neighbors.csv that will cover 2,500 patents in the hidden dataset.\n\n> `publication_number` - Only patents published on or after 1975 were included in this column.\n> `target_[N]` - These columns specify which patents your query should yield.\n\ncode: (https://www.kaggle.com/code/ryotayoshinobu/uspto-debug/notebook)\n```\nimport polars as pl\n\ntest = pl.read_csv(\"/kaggle/input/uspto-explainable-ai/test.csv\")\ncolumns = set([\"publication_number\"] + [f\"target_{i}\" for i in range(50)])\n\nif set(test.columns) != set(columns):\n # exception\n raise\nelif len(test.columns) != 51:\n # submission.csv not found\n pass\nelse:\n pl.read_csv(\"/kaggle/input/uspto-explainable-ai/sample_submission.csv\").write_csv(\"submission.csv\")\n```\n\nresult:\n", "2859782": "The data description has several inconsistencies and at this point I've embraced that dealing with them is part of the competition.\n\n(it should not be)", "2859812": "I completely agree. The task is very interesting, but first we need to understand the dataset properly.", "2865578": "Sorry about that. I see the issue and am uploading a patch now. It will probably take another couple of hours for the update to go live.", "2866158": "Thank you! I have confirmed that the above code passes without errors." }, "source": "meta" }