{ "id": 664001, "title": "Score Submission Error - submission file with incorrect format", "url": "/competitions/csiro-biomass/discussion/664001", "author_name": "", "post_date": "2025-12-22T02:43:35.815306200Z", "votes": 1, "comment_count": 9, "views": 0, "content": "

I’m consistently getting the error “Your notebook generated a submission file with incorrect format” even after validating the submission thoroughly.

\n

I have verified that:

\n\n

Submission error showing is : Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected.

", "messages": [ { "id": "3380241", "postDate": "12/22/2025 02:43:35", "content": "

I’m consistently getting the error “Your notebook generated a submission file with incorrect format” even after validating the submission thoroughly.

\n

I have verified that:

\n\n

Submission error showing is : Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected.

", "rawMarkdown": "I’m consistently getting the error “Your notebook generated a submission file with incorrect format” even after validating the submission thoroughly.\n\nI have verified that:\n- The submission has the exact same columns (sample_id, target) as sample_submission.csv\n- The row order exactly matches sample_submission.csv\n- There are no missing, duplicate, NaN, or infinite values\n- Data types are correct (sample_id as string, target as float)\n- The CSV is written with standard UTF-8 encoding and no index\n\nSubmission error showing is : Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected.", "votes": null }, { "id": "3380308", "postDate": "12/22/2025 07:17:11", "content": "

Make you notebook public and share a link here - someone might be able to help.

\n

or

\n

Read all the discussion topics on \"submission' and you might find an answer.
\nDid you run the notebook predicting on train rather than test ? Lots of things can go wrong with more than a single image being predicted - predicting on the train.csv exposes most of those.\nDid your code create the id - I spent many hours before I found I was missing an _ in the id.

", "rawMarkdown": "Make you notebook public and share a link here - someone might be able to help. \n\nor\n\nRead all the discussion topics on \"submission' and you might find an answer. \nDid you run the notebook predicting on train rather than test ? Lots of things can go wrong with more than a single image being predicted - predicting on the train.csv exposes most of those.\nDid your code create the id - I spent many hours before I found I was missing an _ in the id.", "votes": null }, { "id": "3380423", "postDate": "12/22/2025 12:07:58", "content": "

This is my code - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor

\n

I had sample_id and target columns. submission.csv file create by running on test folder only.\nThis is the output I had created - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor/output

", "rawMarkdown": "This is my code - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor\n\nI had sample_id and target columns. submission.csv file create by running on test folder only.\nThis is the output I had created - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor/output", "votes": null }, { "id": "3380503", "postDate": "12/22/2025 13:42:48", "content": "

you can replace image_dir = \"/kaggle/input/csiro-biomass/train\" for more sample and view submission file if there are any issues

\n

enforce constrain value > 0 for every rows might help

", "rawMarkdown": "you can replace `image_dir = \"/kaggle/input/csiro-biomass/train\"` for more sample and view submission file if there are any issues\n\nenforce constrain value > 0 for every rows might help", "votes": null }, { "id": "3380530", "postDate": "12/22/2025 15:16:04", "content": "

Not sure this is the issue - but for some reason in this competition the sample_submission file does not exist in the private test folder. Remove this one line. I am not sure that would be that error message but it is a fatal error and kaggle might not close up things correctly without the submission being saved.

\n

pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')

\n

Your data set is private as is the model so I can't fork and run the notebook predicting on train.csv. If the sample_submission.csv read error not the issue make them public and will fork and predict the train files.

", "rawMarkdown": "Not sure this is the issue - but for some reason in this competition the sample_submission file does not exist in the private test folder. Remove this one line. I am not sure that would be that error message but it is a fatal error and kaggle might not close up things correctly without the submission being saved.\n\n`pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')`\n\nYour data set is private as is the model so I can't fork and run the notebook predicting on train.csv. If the sample_submission.csv read error not the issue make them public and will fork and predict the train files.", "votes": null }, { "id": "3380766", "postDate": "12/23/2025 02:00:17", "content": "

I tried adding constrain value > 0 and removed line pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')

\n

But still same error.

\n

I had made my dataset public - https://www.kaggle.com/datasets/syedslmn/efficientnet-b0-pth

", "rawMarkdown": "I tried adding constrain value > 0 and removed line `pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')`\n\nBut still same error.\n\nI had made my dataset public - https://www.kaggle.com/datasets/syedslmn/efficientnet-b0-pth", "votes": null }, { "id": "3380780", "postDate": "12/23/2025 03:28:22", "content": "

The model is still private - so I cannot fork yet.

", "rawMarkdown": "The model is still private - so I cannot fork yet.", "votes": null }, { "id": "3380783", "postDate": "12/23/2025 04:03:25", "content": "

I just removed the model - apparently it's not used.

\n

Not sure how many times I have mentioned in discussion posts - others have said the same in this post.

\n

PREDICT ON THE TRAINING FILE

\n

Its Kaggle 101 to figuring out what submission issues exist.

\n

I changed this

\n

image_dir = \"/kaggle/input/csiro-biomass/test\"

\n

to this

\n

image_dir = \"/kaggle/input/csiro-biomass/train\"

\n

You should to the same - and than see if you can figure out the error. The code predicts 357 images as it should - it saves only the last one in the submission file.

\n

Good luck - hollar if you can't figure it out. Hint - Zip is not doing what you think.

", "rawMarkdown": "I just removed the model - apparently it's not used.\n\nNot sure how many times I have mentioned in discussion posts - [others](https://www.kaggle.com/llkh0a) have said the same in this post.\n\nPREDICT ON THE TRAINING FILE\n\nIts Kaggle 101 to figuring out what submission issues exist.\n\nI changed this\n\n`image_dir = \"/kaggle/input/csiro-biomass/test\"`\n\nto this\n\n`image_dir = \"/kaggle/input/csiro-biomass/train\"`\n\nYou should to the same - and than see if you can figure out the error. The code predicts 357 images as it should - it saves only the last one in the submission file. \n\nGood luck - hollar if you can't figure it out. Hint - Zip is not doing what you think.", "votes": null }, { "id": "3382110", "postDate": "12/26/2025 14:46:34", "content": "

Atlast worked. Thanks for your inputs. Mistake I did is

\n\n

Now worked. Thanks all. 😀

", "rawMarkdown": "Atlast worked. Thanks for your inputs. Mistake I did is \n- Wrote only final result to submission.csv\n- Read the images from test folder directly and calculated targets from it. But have to read test.csv first and then read images based on image-ids given in the csv.\n\nNow worked. Thanks all. 😀", "votes": null }, { "id": "3382275", "postDate": "12/27/2025 05:21:10", "content": "

I got the same score you did - I changed things in a different fashion, but base error is that zip was only reading the 5 labels as you noticed.

", "rawMarkdown": "I got the same score you did - I changed things in a different fashion, but base error is that zip was only reading the 5 labels as you noticed.", "votes": null } ], "comments": [ { "id": 3380308, "author_name": "pcjimmmy", "author_url": "", "post_date": "12/22/2025 07:17:11", "content": "

Make you notebook public and share a link here - someone might be able to help.

\n

or

\n

Read all the discussion topics on \"submission' and you might find an answer.
\nDid you run the notebook predicting on train rather than test ? Lots of things can go wrong with more than a single image being predicted - predicting on the train.csv exposes most of those.\nDid your code create the id - I spent many hours before I found I was missing an _ in the id.

", "votes": null, "replies": [ { "id": 3380423, "author_name": "syedslmn", "author_url": "", "post_date": "12/22/2025 12:07:58", "content": "

This is my code - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor

\n

I had sample_id and target columns. submission.csv file create by running on test folder only.\nThis is the output I had created - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor/output

", "votes": null, "replies": [ { "id": 3380503, "author_name": "llkh0a", "author_url": "", "post_date": "12/22/2025 13:42:48", "content": "

you can replace image_dir = \"/kaggle/input/csiro-biomass/train\" for more sample and view submission file if there are any issues

\n

enforce constrain value > 0 for every rows might help

", "votes": null, "replies": [] }, { "id": 3380530, "author_name": "pcjimmmy", "author_url": "", "post_date": "12/22/2025 15:16:04", "content": "

Not sure this is the issue - but for some reason in this competition the sample_submission file does not exist in the private test folder. Remove this one line. I am not sure that would be that error message but it is a fatal error and kaggle might not close up things correctly without the submission being saved.

\n

pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')

\n

Your data set is private as is the model so I can't fork and run the notebook predicting on train.csv. If the sample_submission.csv read error not the issue make them public and will fork and predict the train files.

", "votes": null, "replies": [ { "id": 3380766, "author_name": "syedslmn", "author_url": "", "post_date": "12/23/2025 02:00:17", "content": "

I tried adding constrain value > 0 and removed line pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')

\n

But still same error.

\n

I had made my dataset public - https://www.kaggle.com/datasets/syedslmn/efficientnet-b0-pth

", "votes": null, "replies": [ { "id": 3380780, "author_name": "pcjimmmy", "author_url": "", "post_date": "12/23/2025 03:28:22", "content": "

The model is still private - so I cannot fork yet.

", "votes": null, "replies": [ { "id": 3380783, "author_name": "pcjimmmy", "author_url": "", "post_date": "12/23/2025 04:03:25", "content": "

I just removed the model - apparently it's not used.

\n

Not sure how many times I have mentioned in discussion posts - others have said the same in this post.

\n

PREDICT ON THE TRAINING FILE

\n

Its Kaggle 101 to figuring out what submission issues exist.

\n

I changed this

\n

image_dir = \"/kaggle/input/csiro-biomass/test\"

\n

to this

\n

image_dir = \"/kaggle/input/csiro-biomass/train\"

\n

You should to the same - and than see if you can figure out the error. The code predicts 357 images as it should - it saves only the last one in the submission file.

\n

Good luck - hollar if you can't figure it out. Hint - Zip is not doing what you think.

", "votes": null, "replies": [ { "id": 3382110, "author_name": "syedslmn", "author_url": "", "post_date": "12/26/2025 14:46:34", "content": "

Atlast worked. Thanks for your inputs. Mistake I did is

\n\n

Now worked. Thanks all. 😀

", "votes": null, "replies": [ { "id": 3382275, "author_name": "pcjimmmy", "author_url": "", "post_date": "12/27/2025 05:21:10", "content": "

I got the same score you did - I changed things in a different fashion, but base error is that zip was only reading the 5 labels as you noticed.

", "votes": null, "replies": [] } ] } ] } ] } ] } ] } ] } ] } ], "raw_markdown_by_id": { "3380241": "I’m consistently getting the error “Your notebook generated a submission file with incorrect format” even after validating the submission thoroughly.\n\nI have verified that:\n- The submission has the exact same columns (sample_id, target) as sample_submission.csv\n- The row order exactly matches sample_submission.csv\n- There are no missing, duplicate, NaN, or infinite values\n- Data types are correct (sample_id as string, target as float)\n- The CSV is written with standard UTF-8 encoding and no index\n\nSubmission error showing is : Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected.", "3380308": "Make you notebook public and share a link here - someone might be able to help. \n\nor\n\nRead all the discussion topics on \"submission' and you might find an answer. \nDid you run the notebook predicting on train rather than test ? Lots of things can go wrong with more than a single image being predicted - predicting on the train.csv exposes most of those.\nDid your code create the id - I spent many hours before I found I was missing an _ in the id.", "3380423": "This is my code - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor\n\nI had sample_id and target columns. submission.csv file create by running on test folder only.\nThis is the output I had created - https://www.kaggle.com/code/syedslmn/biomass-efficientnet-predictor/output", "3380503": "you can replace `image_dir = \"/kaggle/input/csiro-biomass/train\"` for more sample and view submission file if there are any issues\n\nenforce constrain value > 0 for every rows might help", "3380530": "Not sure this is the issue - but for some reason in this competition the sample_submission file does not exist in the private test folder. Remove this one line. I am not sure that would be that error message but it is a fatal error and kaggle might not close up things correctly without the submission being saved.\n\n`pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')`\n\nYour data set is private as is the model so I can't fork and run the notebook predicting on train.csv. If the sample_submission.csv read error not the issue make them public and will fork and predict the train files.", "3380766": "I tried adding constrain value > 0 and removed line `pd.read_csv('/kaggle/input/csiro-biomass/sample_submission.csv')`\n\nBut still same error.\n\nI had made my dataset public - https://www.kaggle.com/datasets/syedslmn/efficientnet-b0-pth", "3380780": "The model is still private - so I cannot fork yet.", "3380783": "I just removed the model - apparently it's not used.\n\nNot sure how many times I have mentioned in discussion posts - [others](https://www.kaggle.com/llkh0a) have said the same in this post.\n\nPREDICT ON THE TRAINING FILE\n\nIts Kaggle 101 to figuring out what submission issues exist.\n\nI changed this\n\n`image_dir = \"/kaggle/input/csiro-biomass/test\"`\n\nto this\n\n`image_dir = \"/kaggle/input/csiro-biomass/train\"`\n\nYou should to the same - and than see if you can figure out the error. The code predicts 357 images as it should - it saves only the last one in the submission file. \n\nGood luck - hollar if you can't figure it out. Hint - Zip is not doing what you think.", "3382110": "Atlast worked. Thanks for your inputs. Mistake I did is \n- Wrote only final result to submission.csv\n- Read the images from test folder directly and calculated targets from it. But have to read test.csv first and then read images based on image-ids given in the csv.\n\nNow worked. Thanks all. 😀", "3382275": "I got the same score you did - I changed things in a different fashion, but base error is that zip was only reading the 5 labels as you noticed." }, "source": "meta" }