This competition provided a generated dot chart, what script did you use to generate this chart?
\nAmong the chart types that are the subject of inference in this competition, only dot chart is not supported by matplotlib, and I could not figure out how to generate them.
\n(To be precise, I was able to create a similar image by extending the scatter plot, but the spacing between the dots became too wide, or if the size of the dots was made too large, they overlapped or were outside the image area, so I could not generate a clean image.)
If anyone knows how to generate a dot chart, I would appreciate it if you could share your method.
", "messages": [ { "id": "2231780", "postDate": "04/23/2023 16:37:48", "content": "This competition provided a generated dot chart, what script did you use to generate this chart?
\nAmong the chart types that are the subject of inference in this competition, only dot chart is not supported by matplotlib, and I could not figure out how to generate them.
\n(To be precise, I was able to create a similar image by extending the scatter plot, but the spacing between the dots became too wide, or if the size of the dots was made too large, they overlapped or were outside the image area, so I could not generate a clean image.)
If anyone knows how to generate a dot chart, I would appreciate it if you could share your method.
", "rawMarkdown": "This competition provided a generated dot chart, what script did you use to generate this chart?\n\nAmong the chart types that are the subject of inference in this competition, only dot chart is not supported by matplotlib, and I could not figure out how to generate them.\n(To be precise, I was able to create a similar image by extending the scatter plot, but the spacing between the dots became too wide, or if the size of the dots was made too large, they overlapped or were outside the image area, so I could not generate a clean image.)\n\nIf anyone knows how to generate a dot chart, I would appreciate it if you could share your method.", "votes": null }, { "id": "2232476", "postDate": "04/24/2023 11:26:09", "content": "I believe you generated dot charts similar to this source. If you did so, I believe this might be a very useful template compared to those of the generated dataset. I'm saying this based on Graph Conventions. If you check the section about dot charts, you will see two examples: Categorical X-Axis and Numeric X-Axis. The Categorical X-Axis example is drawn from the distribution of the generated dot dataset. However, the Numeric X-Axis does not appear in the dataset. It is most probably drawn from the unknown test dataset. Therefore, it would be more beneficial to generate dot charts similar to this source.
", "rawMarkdown": "I believe you generated dot charts similar to this [source](https://stackoverflow.com/questions/49703938/how-to-create-a-dot-plot-in-matplotlib-not-a-scatter-plot). If you did so, I believe this might be a very useful template compared to those of the generated dataset. I'm saying this based on [Graph Conventions](https://www.kaggle.com/competitions/benetech-making-graphs-accessible/overview/graph-conventions). If you check the section about dot charts, you will see two examples: Categorical X-Axis and Numeric X-Axis. The Categorical X-Axis example is drawn from the distribution of the generated dot dataset. However, the Numeric X-Axis does not appear in the dataset. It is most probably drawn from the unknown test dataset. Therefore, it would be more beneficial to generate dot charts similar to this [source](https://stackoverflow.com/questions/49703938/how-to-create-a-dot-plot-in-matplotlib-not-a-scatter-plot).", "votes": null }, { "id": "2237909", "postDate": "04/28/2023 04:09:27", "content": "I found this in rules
\n\n\nC. External Data. You may use data other than the Competition Data (“External Data”) to develop and test your Submissions. However, you will ensure the External Data is publicly available and equally accessible to use by all participants of the Competition for purposes of the competition at no cost to the other participants. The ability to use External Data under this Section 7.C (External Data) does not limit your other obligations under these Competition Rules, including but not limited to Section 11 (Winners Obligations).
\n
So everyone can generate some data, but need make it public, but when and where we need to do this?
", "rawMarkdown": "I found this in rules\n\n>C. External Data. You may use data other than the Competition Data (“External Data”) to develop and test your Submissions. However, you will ensure the External Data is publicly available and equally accessible to use by all participants of the Competition for purposes of the competition at no cost to the other participants. The ability to use External Data under this Section 7.C (External Data) does not limit your other obligations under these Competition Rules, including but not limited to Section 11 (Winners Obligations).\n\nSo everyone can generate some data, but need make it public, but when and where we need to do this?", "votes": null }, { "id": "2237933", "postDate": "04/28/2023 05:05:04", "content": "I believe that this rule refers only to public datasets provided by third parties, and does not extend to data generated independently by the competition participants.
\nI think the rule is saying that if you use a public dataset, it must be one that all participants have equal access to.
\n(For example, \"If a dataset can only be accessed from a specific country or region, it is prohibited to use it\" etc…)
In fact, in the competitions I have participated in, I have seen participants employ novel methods of generating data using image-generating or text-generating models.
\nThose competitions followed exactly the same conventions as this one, and although they did not make them public during the competition, in no case did it become a problem after the competition was over.
Therefore, I believe that this time is no different and that competition participants are not obligated to publish their own generated data sets.
\nTo the competition organizers.
\n@benjiaa @ryanholbrook @maggiemd
\nIn any case, there are some unclear aspects about external datasets, would it be possible for you to publish clear rules once you have done so?
\nIf possible, I would appreciate it if you could clarify them, including the part about licensing that I mentioned here.
Thank you in advance.
", "rawMarkdown": "I believe that this rule refers only to public datasets provided by third parties, and does not extend to data generated independently by the competition participants.\nI think the rule is saying that if you use a public dataset, it must be one that all participants have equal access to.\n(For example, \"If a dataset can only be accessed from a specific country or region, it is prohibited to use it\" etc...)\n\nIn fact, in the competitions I have participated in, I have seen participants employ novel methods of generating data using image-generating or text-generating models.\nThose competitions followed exactly the same conventions as this one, and although they did not make them public during the competition, in no case did it become a problem after the competition was over.\n\nTherefore, I believe that this time is no different and that competition participants are not obligated to publish their own generated data sets.\n\nTo the competition organizers.\n@benjiaa @ryanholbrook @maggiemd\nIn any case, there are some unclear aspects about external datasets, would it be possible for you to publish clear rules once you have done so?\nIf possible, I would appreciate it if you could clarify them, including the part about licensing that I mentioned [here](https://www.kaggle.com/competitions/benetech-making-graphs-accessible/discussion/403245#2230339).\n\nThank you in advance.", "votes": null }, { "id": "2238106", "postDate": "04/28/2023 08:18:09", "content": "Thanks for your detailed explanation!
", "rawMarkdown": "Thanks for your detailed explanation!", "votes": null } ], "comments": [ { "id": 2232476, "author_name": "awqatak", "author_url": "", "post_date": "04/24/2023 11:26:09", "content": "I believe you generated dot charts similar to this source. If you did so, I believe this might be a very useful template compared to those of the generated dataset. I'm saying this based on Graph Conventions. If you check the section about dot charts, you will see two examples: Categorical X-Axis and Numeric X-Axis. The Categorical X-Axis example is drawn from the distribution of the generated dot dataset. However, the Numeric X-Axis does not appear in the dataset. It is most probably drawn from the unknown test dataset. Therefore, it would be more beneficial to generate dot charts similar to this source.
", "votes": null, "replies": [] }, { "id": 2237909, "author_name": "evilpsycho42", "author_url": "", "post_date": "04/28/2023 04:09:27", "content": "I found this in rules
\n\n\nC. External Data. You may use data other than the Competition Data (“External Data”) to develop and test your Submissions. However, you will ensure the External Data is publicly available and equally accessible to use by all participants of the Competition for purposes of the competition at no cost to the other participants. The ability to use External Data under this Section 7.C (External Data) does not limit your other obligations under these Competition Rules, including but not limited to Section 11 (Winners Obligations).
\n
So everyone can generate some data, but need make it public, but when and where we need to do this?
", "votes": null, "replies": [ { "id": 2237933, "author_name": "kashiwaba", "author_url": "", "post_date": "04/28/2023 05:05:04", "content": "I believe that this rule refers only to public datasets provided by third parties, and does not extend to data generated independently by the competition participants.
\nI think the rule is saying that if you use a public dataset, it must be one that all participants have equal access to.
\n(For example, \"If a dataset can only be accessed from a specific country or region, it is prohibited to use it\" etc…)
In fact, in the competitions I have participated in, I have seen participants employ novel methods of generating data using image-generating or text-generating models.
\nThose competitions followed exactly the same conventions as this one, and although they did not make them public during the competition, in no case did it become a problem after the competition was over.
Therefore, I believe that this time is no different and that competition participants are not obligated to publish their own generated data sets.
\nTo the competition organizers.
\n@benjiaa @ryanholbrook @maggiemd
\nIn any case, there are some unclear aspects about external datasets, would it be possible for you to publish clear rules once you have done so?
\nIf possible, I would appreciate it if you could clarify them, including the part about licensing that I mentioned here.
Thank you in advance.
", "votes": null, "replies": [ { "id": 2238106, "author_name": "evilpsycho42", "author_url": "", "post_date": "04/28/2023 08:18:09", "content": "Thanks for your detailed explanation!
", "votes": null, "replies": [] } ] } ] } ], "raw_markdown_by_id": { "2231780": "This competition provided a generated dot chart, what script did you use to generate this chart?\n\nAmong the chart types that are the subject of inference in this competition, only dot chart is not supported by matplotlib, and I could not figure out how to generate them.\n(To be precise, I was able to create a similar image by extending the scatter plot, but the spacing between the dots became too wide, or if the size of the dots was made too large, they overlapped or were outside the image area, so I could not generate a clean image.)\n\nIf anyone knows how to generate a dot chart, I would appreciate it if you could share your method.", "2232476": "I believe you generated dot charts similar to this [source](https://stackoverflow.com/questions/49703938/how-to-create-a-dot-plot-in-matplotlib-not-a-scatter-plot). If you did so, I believe this might be a very useful template compared to those of the generated dataset. I'm saying this based on [Graph Conventions](https://www.kaggle.com/competitions/benetech-making-graphs-accessible/overview/graph-conventions). If you check the section about dot charts, you will see two examples: Categorical X-Axis and Numeric X-Axis. The Categorical X-Axis example is drawn from the distribution of the generated dot dataset. However, the Numeric X-Axis does not appear in the dataset. It is most probably drawn from the unknown test dataset. Therefore, it would be more beneficial to generate dot charts similar to this [source](https://stackoverflow.com/questions/49703938/how-to-create-a-dot-plot-in-matplotlib-not-a-scatter-plot).", "2237909": "I found this in rules\n\n>C. External Data. You may use data other than the Competition Data (“External Data”) to develop and test your Submissions. However, you will ensure the External Data is publicly available and equally accessible to use by all participants of the Competition for purposes of the competition at no cost to the other participants. The ability to use External Data under this Section 7.C (External Data) does not limit your other obligations under these Competition Rules, including but not limited to Section 11 (Winners Obligations).\n\nSo everyone can generate some data, but need make it public, but when and where we need to do this?", "2237933": "I believe that this rule refers only to public datasets provided by third parties, and does not extend to data generated independently by the competition participants.\nI think the rule is saying that if you use a public dataset, it must be one that all participants have equal access to.\n(For example, \"If a dataset can only be accessed from a specific country or region, it is prohibited to use it\" etc...)\n\nIn fact, in the competitions I have participated in, I have seen participants employ novel methods of generating data using image-generating or text-generating models.\nThose competitions followed exactly the same conventions as this one, and although they did not make them public during the competition, in no case did it become a problem after the competition was over.\n\nTherefore, I believe that this time is no different and that competition participants are not obligated to publish their own generated data sets.\n\nTo the competition organizers.\n@benjiaa @ryanholbrook @maggiemd\nIn any case, there are some unclear aspects about external datasets, would it be possible for you to publish clear rules once you have done so?\nIf possible, I would appreciate it if you could clarify them, including the part about licensing that I mentioned [here](https://www.kaggle.com/competitions/benetech-making-graphs-accessible/discussion/403245#2230339).\n\nThank you in advance.", "2238106": "Thanks for your detailed explanation!" }, "source": "meta" }