### Registration Please register the MMFM Challenge via MMFM Challenge CMT and select the challenge track. The full challenge submission instruction refers to MMFM Submission. ### Submission Here is the instruction for submitting results to the online evaluation and leaderboard. - Please login the Huggingface competition before submiting your generated answers. #### Phase 1 - For this phase, train and test sets from 10 open-source datasets (DocVQA, InfographicsVQA, Websrc, WTQ, IconQA Fill in the blank, FunSD, IconQA Choose text, WildReceipt, TextbookQA and TabFact) are provided. - There are 2000 questions in the test set (200 questions per dataset). #### Phase 2 - An alien test set consisting of 3 private datasets (mydoc, mychart, myinfographic) is released. We encourage the participants to read our GitHub Readme. - There are 1028 questions in the test set (400 questions for mydoc, 200 questions for mychart and 428 questions for myinfographic). #### Submission - Submission procedure - First log in to the Hugging Face space by clicking the blue button "Login with Hugging Face". - Click the "New Submission" button and upload the submission file. The submission file is a `.csv` file in the following structure (the headings `id,pred,split` cannot be changed). The submission file should contain predictions for all the 3028 questions from the 13 datasets. A dummy submission file can be downloaded from here and used as a template where you find the sample ids for the 3028 questions. Submission with missing samples will lead to an error. We recommend using the dummy submission file as a template to check whether all sample ids are included. - Then click on the "Submit" button to submit the file. "Success! You have xx submissions remaining today." indicates that the submission is successful. - Click on "Cancel" to go back to the submission page and click on the "Logs" button (at the top panel) to check the evaluation status. - The evaluation process on the 3028 samples takes around 10 minutes. - Solution to potential errors - "Invalid Token" error: Please first log in to the Hugging Face space by clicking the blue button "Login with Hugging Face" before the submission. - "404" error: A potential solution to 404 error is to use the Chrome browser. - "Error: missing sample ids in the submission file: " in log: Please check the submission file and make sure all the sample ids are included. ``` id,pred,split docvqa_docvqa_0_4,dummy,public ... infographicvqa_infographicvqa_1_0_2,dummy,public ... websrc_websrc_1_0_213,dummy,public ... wtq_wtq_1_1_0,dummy,public ... iconqa_fill_in_blank_iconqa_1_13,dummy,public ... funsd_funsd_1_0_27_26_2,dummy,public ... iconqa_choose_txt_iconqa_1_4,dummy,public ... wildreceipt_wildreceipt_1_3_73_73_7,dummy,public ... textbookqa_textbookqa_1_10_2_3_5,dummy,public ... tabfact_tabfact_1_0_9,dummy,public ... mydoc_5227,dummy,public ... mychart_396_vbar,dummy,public ... myinfographic_5,dummy,public ... ``` where the 3 columns are sample id, prediction and split (set to public as default). The sample id format for the 10 phase-1 datasets are: ``` DocVQA: docvqa_docvqa_x_x InfographicsVQA: infographicvqa_infographicvqa_x_x_x WebSrc: websrc_websrc_x_x_x WTQ: wtq_wtq_x_x_x IconQA Fill in the blank: iconqa_fill_in_blank_iconqa_x_x FunSD: funsd_funsd_x_x_x_x_x IconQA Choose text: iconqa_choose_txt_iconqa_x_x WildReceipt: wildreceipt_wildreceipt_x_x_x_x_x TextbookQA: textbookqa_textbookqa_x_x_x_x_x TabFact: tabfact_tabfact_x_x_x ``` The sample id consists of 3 components: dataset name, sub dataset name and the original sample id. The sub dataset name is the same as dataset name except for `iconqa_fill_in_blank_iconqa` and `iconqa_choose_txt_iconqa` Here `x_x` is the original sample id given in the `processed_data/dataset_name/converted_output_test.json` file. The sample id format for the 3 phase-2 datasets are e.g.: ``` mydoc: mydoc_5227 mychart: mychart_396_vbar myinfographic: myinfographic_5 ``` Here the sample ids are the same as the ones given in the annotation files (`annot_wo_answer.json`) downloaded from the Google Drive on GitHub Readme.