commit before open the HF space

conf.json

@@ -15,5 +15,5 @@
     "SUBMISSION_FILENAMES": [
         "submission.csv"
     ],
-    "SCORING_METRIC": "phase2_overall_rating"
+    "SCORING_METRIC": "phase1_overall_acc"
 }

metric.py

@@ -61,7 +61,8 @@ def heading(text: str) -> str:
 def chat_llm_batch(model_id, prompts, limit= 20):
     parameters = TextGenerationParameters(
         # decoding_method=DecodingMethod.SAMPLE, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=50, top_p=1, random_seed=42
-        decoding_method=DecodingMethod.GREEDY, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=1, top_p=0, random_seed=42,
+        decoding_method=DecodingMethod.SAMPLE, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=1, top_p=1, random_seed=42,
+        # decoding_method=DecodingMethod.GREEDY, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=1, top_p=0, random_seed=42,
     )
     client = Client(credentials=Credentials.from_env())
     response_list = []
@@ -407,6 +408,7 @@ def mmmu_eval(submission_dict_of_dict, solution_dict_of_dict, category=None, cat
 
 def compute(params):
     random.seed(42)
+    np.random.seed(42)
     # Download the two json file
     # category_
     category_to_sample_ids_dict_file = hf_hub_download(
@@ -487,16 +489,16 @@ def compute(params):
 
     ####################################################### Wei's part ###############################################
 
-    # phase1_datasets_for_mmmu_eval = ['iconqa_fill','funsd','iconqa_choose','wildreceipt','textbookqa','tabfact']
-    # phase1_datasets_for_mixtral_eval = ['docvqa','infographicvqa','websrc','wtq']
+    phase1_datasets_for_mmmu_eval = ['iconqa_fill','funsd','iconqa_choose','wildreceipt','textbookqa','tabfact']
+    phase1_datasets_for_mixtral_eval = ['docvqa','infographicvqa','websrc','wtq']
 
-    phase1_datasets_for_mmmu_eval = []
+    # phase1_datasets_for_mmmu_eval = []
     # phase1_datasets_for_mixtral_eval = []
-    phase1_datasets_for_mixtral_eval = ['infographicvqa']
+
 
     phase2_datasets_for_mmmu_eval = []
-    # phase2_datasets_for_mixtral_eval = ['mydoc', 'mychart', 'myinfographic' ]
-    phase2_datasets_for_mixtral_eval = []
+    phase2_datasets_for_mixtral_eval = ['mydoc', 'mychart', 'myinfographic' ]
+
 
 
     all_keys = [
@@ -523,15 +525,15 @@ def compute(params):
         public_category_score_dict.update({key_: 0})
         private_category_score_dict.update({key_: 0})
 
-    # ############################################# Check if all the sample ids are in the submission file  ########################################################################################
-    # missing_sample_ids = []
-    # for datasetname, sample_ids in category_to_sample_ids_dict.items():
-    #     for sample_id in sample_ids:
-    #         if sample_id not in public_submission_dict_of_dict:
-    #             missing_sample_ids.append(sample_id)
-    # if len(missing_sample_ids) > 0:
-    #     print(f'Error: missing sample ids in the submission file: {missing_sample_ids}')
-    #     return
+    ############################################# Check if all the sample ids are in the submission file  ########################################################################################
+    missing_sample_ids = []
+    for datasetname, sample_ids in category_to_sample_ids_dict.items():
+        for sample_id in sample_ids:
+            if sample_id not in public_submission_dict_of_dict:
+                missing_sample_ids.append(sample_id)
+    if len(missing_sample_ids) > 0:
+        print(f'Error: missing sample ids in the submission file: {missing_sample_ids}')
+        return
 
     ###################################################################################################################################################
     ############################################# phase 1 eval (only acc)  ########################################################################################
@@ -644,6 +646,14 @@ def compute(params):
         }  
     """
 
+    del public_category_score_dict['mydoc_rating']
+    del public_category_score_dict['mychart_rating']
+    del public_category_score_dict['myinfographic_rating']
+
+    del private_category_score_dict['mydoc_rating']
+    del private_category_score_dict['mychart_rating']
+    del private_category_score_dict['myinfographic_rating']
+
     metric_dict = {"public_score": public_category_score_dict,
                    "private_score": private_category_score_dict } # keys of public_score, private_score is a must
     # metric_dict = {**public_category_score_dict, **private_category_score_dict} 

solution_debugtest.csv

@@ -0,0 +1,201 @@
+id,pred,split
+infographicvqa_infographicvqa_1_0_2,"linkedin, facebook",public
+infographicvqa_infographicvqa_1_1_2,youtube,public
+infographicvqa_infographicvqa_1_3_0,"organization, audience, offering",public
+infographicvqa_infographicvqa_1_6_2,54,public
+infographicvqa_infographicvqa_1_12_1,1st,public
+infographicvqa_infographicvqa_1_16_2,32%,public
+infographicvqa_infographicvqa_1_17_0,16%,public
+infographicvqa_infographicvqa_1_19_3,root,public
+infographicvqa_infographicvqa_1_20_5,"characters, sub-plots, main plot",public
+infographicvqa_infographicvqa_1_20_6,61,public
+infographicvqa_infographicvqa_1_25_5,13,public
+infographicvqa_infographicvqa_1_27_1,4,public
+infographicvqa_infographicvqa_1_28_2,6,public
+infographicvqa_infographicvqa_1_31_7,6.63,public
+infographicvqa_infographicvqa_1_32_6,pakistan,public
+infographicvqa_infographicvqa_1_36_2,14-mar-15,public
+infographicvqa_infographicvqa_1_37_10,2008,public
+infographicvqa_infographicvqa_1_38_0,biratnagar,public
+infographicvqa_infographicvqa_1_38_1,3,public
+infographicvqa_infographicvqa_1_39_0,17,public
+infographicvqa_infographicvqa_1_41_12,"in the third person, in the first person",public
+infographicvqa_infographicvqa_1_42_1,clay,public
+infographicvqa_infographicvqa_1_45_3,1963,public
+infographicvqa_infographicvqa_1_46_1,jakarta,public
+infographicvqa_infographicvqa_1_49_2,twenty thousand leagues under the sea,public
+infographicvqa_infographicvqa_1_49_9,stand on zanzibar,public
+infographicvqa_infographicvqa_1_49_13,"genetic engineering, mood-enhancing drugs",public
+infographicvqa_infographicvqa_1_53_0,0-4,public
+infographicvqa_infographicvqa_1_56_1,10,public
+infographicvqa_infographicvqa_1_56_6,least equal,public
+infographicvqa_infographicvqa_1_56_7,most equal,public
+infographicvqa_infographicvqa_1_61_1,asia,public
+infographicvqa_infographicvqa_1_66_4,$10.5 million,public
+infographicvqa_infographicvqa_1_67_6,4,public
+infographicvqa_infographicvqa_1_68_1,1,public
+infographicvqa_infographicvqa_1_70_2,"family planning, sustainable living",public
+infographicvqa_infographicvqa_1_75_2,18-29,public
+infographicvqa_infographicvqa_1_75_6,65+,public
+infographicvqa_infographicvqa_1_76_9,dense pattern,public
+infographicvqa_infographicvqa_1_82_9,the cornhusker,public
+infographicvqa_infographicvqa_1_83_4,tumblr,public
+infographicvqa_infographicvqa_1_87_2,69%,public
+infographicvqa_infographicvqa_1_95_4,"fish, bananas, milk",public
+infographicvqa_infographicvqa_1_96_3,waxing gibbous,public
+infographicvqa_infographicvqa_1_99_1,$3.30b,public
+infographicvqa_infographicvqa_1_99_7,nba,public
+infographicvqa_infographicvqa_1_99_9,nfl,public
+infographicvqa_infographicvqa_1_99_15,dallas cowboys,public
+infographicvqa_infographicvqa_1_100_2,share photos and stories,public
+infographicvqa_infographicvqa_1_100_5,facebook,public
+infographicvqa_infographicvqa_1_101_3,denoising dirty documents,public
+infographicvqa_infographicvqa_1_104_0,needs to escape,public
+infographicvqa_infographicvqa_1_107_7,12,public
+infographicvqa_infographicvqa_1_119_0,"liquid, gas, solid",public
+infographicvqa_infographicvqa_1_123_4,18%,public
+infographicvqa_infographicvqa_1_125_1,chemistry,public
+infographicvqa_infographicvqa_1_133_2,0,public
+infographicvqa_infographicvqa_1_134_5,1,public
+infographicvqa_infographicvqa_1_134_8,67.5%,public
+infographicvqa_infographicvqa_1_134_11,1,public
+infographicvqa_infographicvqa_1_135_10,2006,public
+infographicvqa_infographicvqa_1_135_24,facebook,public
+infographicvqa_infographicvqa_1_135_27,2013,public
+infographicvqa_infographicvqa_1_136_0,98.6%,public
+infographicvqa_infographicvqa_1_137_0,30-45 years old,public
+infographicvqa_infographicvqa_1_140_0,"800,000",public
+infographicvqa_infographicvqa_1_143_6,27%,public
+infographicvqa_infographicvqa_1_145_1,104,public
+infographicvqa_infographicvqa_1_149_4,battle of el alamein,public
+infographicvqa_infographicvqa_1_150_0,10 hours,public
+infographicvqa_infographicvqa_1_157_1,reconciliation,public
+infographicvqa_infographicvqa_1_160_3,2001,public
+infographicvqa_infographicvqa_1_165_0,62.3%,public
+infographicvqa_infographicvqa_1_165_1,62%,public
+infographicvqa_infographicvqa_1_167_4,24%,public
+infographicvqa_infographicvqa_1_169_7,russia,public
+infographicvqa_infographicvqa_1_180_1,28,public
+infographicvqa_infographicvqa_1_180_3,great britain,public
+infographicvqa_infographicvqa_1_180_8,russia,public
+infographicvqa_infographicvqa_1_180_9,iran,public
+infographicvqa_infographicvqa_1_181_0,3 million,public
+infographicvqa_infographicvqa_1_184_2,u.s.,public
+infographicvqa_infographicvqa_1_184_3,225,public
+infographicvqa_infographicvqa_1_185_1,4,public
+infographicvqa_infographicvqa_1_186_1,union,public
+infographicvqa_infographicvqa_1_192_2,time stone,public
+infographicvqa_infographicvqa_1_192_14,"iron man, the incredible hulk",public
+infographicvqa_infographicvqa_1_192_15,4,public
+infographicvqa_infographicvqa_1_198_6,skype,public
+infographicvqa_infographicvqa_1_201_6,"687,806",public
+infographicvqa_infographicvqa_1_201_8,85%,public
+infographicvqa_infographicvqa_1_208_0,26,public
+infographicvqa_infographicvqa_1_219_0,2.6%,public
+infographicvqa_infographicvqa_1_222_4,30 days,public
+infographicvqa_infographicvqa_1_225_0,$6.7 million,public
+infographicvqa_infographicvqa_1_225_4,expanding overseas representation,public
+infographicvqa_infographicvqa_1_232_1,4,public
+infographicvqa_infographicvqa_1_233_0,samuel l. jackson,public
+infographicvqa_infographicvqa_1_243_2,82%,public
+infographicvqa_infographicvqa_1_247_1,construction,public
+infographicvqa_infographicvqa_1_248_9,legislation,public
+infographicvqa_infographicvqa_1_256_9,20,public
+infographicvqa_infographicvqa_1_260_3,75%,public
+infographicvqa_infographicvqa_1_261_6,57%,public
+infographicvqa_infographicvqa_1_262_0,3,public
+infographicvqa_infographicvqa_1_264_0,97%,public
+infographicvqa_infographicvqa_1_265_3,81%,public
+infographicvqa_infographicvqa_1_267_8,"spain, france, russia",public
+infographicvqa_infographicvqa_1_271_1,13.3%,public
+infographicvqa_infographicvqa_1_271_3,26%,public
+infographicvqa_infographicvqa_1_275_0,5,public
+infographicvqa_infographicvqa_1_275_4,22,public
+infographicvqa_infographicvqa_1_276_0,4,public
+infographicvqa_infographicvqa_1_277_2,"1,000,000",public
+infographicvqa_infographicvqa_1_279_1,$216b,public
+infographicvqa_infographicvqa_1_290_8,germany,public
+infographicvqa_infographicvqa_1_292_6,"5"" floppy disk",public
+infographicvqa_infographicvqa_1_292_7,solid state hard drive,public
+infographicvqa_infographicvqa_1_293_1,crude oil imports,public
+infographicvqa_infographicvqa_1_302_4,17.7%,public
+infographicvqa_infographicvqa_1_303_4,3.16,public
+infographicvqa_infographicvqa_1_304_0,gif,public
+infographicvqa_infographicvqa_1_304_2,unlimited colors,public
+infographicvqa_infographicvqa_1_304_4,jpeg,public
+infographicvqa_infographicvqa_1_307_4,58%,public
+infographicvqa_infographicvqa_1_309_10,12%,public
+infographicvqa_infographicvqa_1_312_6,0,public
+infographicvqa_infographicvqa_1_318_18,a charlie brown christmas,public
+infographicvqa_infographicvqa_1_321_1,489,public
+infographicvqa_infographicvqa_1_323_3,china,public
+infographicvqa_infographicvqa_1_324_0,15.5,public
+infographicvqa_infographicvqa_1_327_4,infrared,public
+infographicvqa_infographicvqa_1_327_6,capacitive,public
+infographicvqa_infographicvqa_1_331_0,23,public
+infographicvqa_infographicvqa_1_334_1,1912,public
+infographicvqa_infographicvqa_1_340_0,26,public
+infographicvqa_infographicvqa_1_347_1,japan,public
+infographicvqa_infographicvqa_1_349_4,fmc,public
+infographicvqa_infographicvqa_1_353_1,"italy, belgium, france",public
+infographicvqa_infographicvqa_1_357_1,36%,public
+infographicvqa_infographicvqa_1_359_4,342,public
+infographicvqa_infographicvqa_1_363_3,free parking,public
+infographicvqa_infographicvqa_1_365_0,38,public
+infographicvqa_infographicvqa_1_367_2,winnisimmet,public
+infographicvqa_infographicvqa_1_375_0,3,public
+infographicvqa_infographicvqa_1_381_3,"runny nose, sore throat, cough",public
+infographicvqa_infographicvqa_1_382_0,africa,public
+infographicvqa_infographicvqa_1_385_0,"living social, groupon",public
+infographicvqa_infographicvqa_1_389_0,17,public
+infographicvqa_infographicvqa_1_392_0,1.5 billion people,public
+infographicvqa_infographicvqa_1_393_8,30 million,public
+infographicvqa_infographicvqa_1_395_0,105%,public
+infographicvqa_infographicvqa_1_395_8,secondary/post-secondary,public
+infographicvqa_infographicvqa_1_395_9,6.4,public
+infographicvqa_infographicvqa_1_396_0,$4.6b,public
+infographicvqa_infographicvqa_1_403_0,89%,public
+infographicvqa_infographicvqa_1_403_1,39%,public
+infographicvqa_infographicvqa_1_406_3,900 million,public
+infographicvqa_infographicvqa_1_407_5,ubs,public
+infographicvqa_infographicvqa_1_407_10,wells fargo,public
+infographicvqa_infographicvqa_1_409_1,$4.6b,public
+infographicvqa_infographicvqa_1_413_3,55%,public
+infographicvqa_infographicvqa_1_413_4,"$33,372",public
+infographicvqa_infographicvqa_1_422_0,16,public
+infographicvqa_infographicvqa_1_432_8,samsung,public
+infographicvqa_infographicvqa_1_436_6,27,public
+infographicvqa_infographicvqa_1_436_10,$36k,public
+infographicvqa_infographicvqa_1_440_1,6,public
+infographicvqa_infographicvqa_1_441_4,5,public
+infographicvqa_infographicvqa_1_445_8,59,public
+infographicvqa_infographicvqa_1_446_1,"310,618",public
+infographicvqa_infographicvqa_1_447_2,hand wash,public
+infographicvqa_infographicvqa_1_452_1,"2,500,000",public
+infographicvqa_infographicvqa_1_453_3,basketball arena,public
+infographicvqa_infographicvqa_1_454_6,michael johnson,public
+infographicvqa_infographicvqa_1_455_6,michael phelps,public
+infographicvqa_infographicvqa_1_455_7,franklin,public
+infographicvqa_infographicvqa_1_461_2,second,public
+infographicvqa_infographicvqa_1_466_1,80%,public
+infographicvqa_infographicvqa_1_467_6,31%,public
+infographicvqa_infographicvqa_1_468_3,male,public
+infographicvqa_infographicvqa_1_471_5,6,public
+infographicvqa_infographicvqa_1_472_2,may 2020,public
+infographicvqa_infographicvqa_1_474_4,facebook,public
+infographicvqa_infographicvqa_1_474_6,46,public
+infographicvqa_infographicvqa_1_474_8,"direct sourcing, internal transfers",public
+infographicvqa_infographicvqa_1_476_0,27%,public
+infographicvqa_infographicvqa_1_477_0,3%,public
+infographicvqa_infographicvqa_1_479_6,easy access to learning and professional development,public
+infographicvqa_infographicvqa_1_480_1,youtube,public
+infographicvqa_infographicvqa_1_484_3,42%,public
+infographicvqa_infographicvqa_1_487_4,20,public
+infographicvqa_infographicvqa_1_488_3,"romania, vietnam, china",public
+infographicvqa_infographicvqa_1_491_5,1.51%,public
+infographicvqa_infographicvqa_1_493_2,58%,public
+infographicvqa_infographicvqa_1_495_11,"50,000",public
+infographicvqa_infographicvqa_1_497_2,76,public
+infographicvqa_infographicvqa_1_497_3,94,public
+infographicvqa_infographicvqa_1_497_8,14,public
+infographicvqa_infographicvqa_1_499_3,4,public

submission_llava1.5_7b_debugtest.csv

@@ -0,0 +1,201 @@
+id,pred,split
+infographicvqa_infographicvqa_1_0_2,Linkedin and instagram,public
+infographicvqa_infographicvqa_1_1_2,Facebook,public
+infographicvqa_infographicvqa_1_3_0,"Digital brand voice is developed by understanding your audience, delivering value from your offerings and conveying your organization's core values.",public
+infographicvqa_infographicvqa_1_6_2,45%,public
+infographicvqa_infographicvqa_1_12_1,July 10,public
+infographicvqa_infographicvqa_1_16_2,13,public
+infographicvqa_infographicvqa_1_17_0,82,public
+infographicvqa_infographicvqa_1_19_3,2,public
+infographicvqa_infographicvqa_1_20_5,4,public
+infographicvqa_infographicvqa_1_20_6,0,public
+infographicvqa_infographicvqa_1_25_5,10,public
+infographicvqa_infographicvqa_1_27_1,1,public
+infographicvqa_infographicvqa_1_28_2,2,public
+infographicvqa_infographicvqa_1_31_7,6.33,public
+infographicvqa_infographicvqa_1_32_6,Pakistan,public
+infographicvqa_infographicvqa_1_36_2,0,public
+infographicvqa_infographicvqa_1_37_10,2005,public
+infographicvqa_infographicvqa_1_38_0,Kathmandu,public
+infographicvqa_infographicvqa_1_38_1,1,public
+infographicvqa_infographicvqa_1_39_0,16,public
+infographicvqa_infographicvqa_1_41_12,Directly extracting the words from the image,public
+infographicvqa_infographicvqa_1_42_1,Clay,public
+infographicvqa_infographicvqa_1_45_3,1963,public
+infographicvqa_infographicvqa_1_46_1,Jakarta,public
+infographicvqa_infographicvqa_1_49_2,The world set free,public
+infographicvqa_infographicvqa_1_49_9,Not exist explicitly as a span of document,public
+infographicvqa_infographicvqa_1_49_13,1984,public
+infographicvqa_infographicvqa_1_53_0,1960,public
+infographicvqa_infographicvqa_1_56_1,0,public
+infographicvqa_infographicvqa_1_56_6,Not exist explicitly as a span of document,public
+infographicvqa_infographicvqa_1_56_7,2,public
+infographicvqa_infographicvqa_1_61_1,Not exist explicitly as a span of document,public
+infographicvqa_infographicvqa_1_66_4,2,public
+infographicvqa_infographicvqa_1_67_6,105,public
+infographicvqa_infographicvqa_1_68_1,2,public
+infographicvqa_infographicvqa_1_70_2,2,public
+infographicvqa_infographicvqa_1_75_2,18-24,public
+infographicvqa_infographicvqa_1_75_6,18-24,public
+infographicvqa_infographicvqa_1_76_9,16x19,public
+infographicvqa_infographicvqa_1_82_9,Cornucopia,public
+infographicvqa_infographicvqa_1_83_4,Facebook,public
+infographicvqa_infographicvqa_1_87_2,42,public
+infographicvqa_infographicvqa_1_95_4,Fish,public
+infographicvqa_infographicvqa_1_96_3,Waxing,public
+infographicvqa_infographicvqa_1_99_1,1,public
+infographicvqa_infographicvqa_1_99_7,Nba,public
+infographicvqa_infographicvqa_1_99_9,Nfl,public
+infographicvqa_infographicvqa_1_99_15,New york yankees,public
+infographicvqa_infographicvqa_1_100_2,Snapchat is used for sharing photos and videos.,public
+infographicvqa_infographicvqa_1_100_5,Twitter,public
+infographicvqa_infographicvqa_1_101_3,Difficult,public
+infographicvqa_infographicvqa_1_104_0,Heart,public
+infographicvqa_infographicvqa_1_107_7,4,public
+infographicvqa_infographicvqa_1_119_0,"Solid, Liquid, Gas",public
+infographicvqa_infographicvqa_1_123_4,0,public
+infographicvqa_infographicvqa_1_125_1,Biology,public
+infographicvqa_infographicvqa_1_133_2,0,public
+infographicvqa_infographicvqa_1_134_5,1 in 6,public
+infographicvqa_infographicvqa_1_134_8,90,public
+infographicvqa_infographicvqa_1_134_11,1,public
+infographicvqa_infographicvqa_1_135_10,2008,public
+infographicvqa_infographicvqa_1_135_24,Facebook,public
+infographicvqa_infographicvqa_1_135_27,2010,public
+infographicvqa_infographicvqa_1_136_0,42,public
+infographicvqa_infographicvqa_1_137_0,35,public
+infographicvqa_infographicvqa_1_140_0,85000,public
+infographicvqa_infographicvqa_1_143_6,0,public
+infographicvqa_infographicvqa_1_145_1,43,public
+infographicvqa_infographicvqa_1_149_4,Battle of el alamein,public
+infographicvqa_infographicvqa_1_150_0,10 hours,public
+infographicvqa_infographicvqa_1_157_1,Calm,public
+infographicvqa_infographicvqa_1_160_3,2001,public
+infographicvqa_infographicvqa_1_165_0,15%,public
+infographicvqa_infographicvqa_1_165_1,30%,public
+infographicvqa_infographicvqa_1_167_4,12,public
+infographicvqa_infographicvqa_1_169_7,Not exist explicitly as a span of document,public
+infographicvqa_infographicvqa_1_180_1,29,public
+infographicvqa_infographicvqa_1_180_3,Great britain,public
+infographicvqa_infographicvqa_1_180_8,China,public
+infographicvqa_infographicvqa_1_180_9,Mexico,public
+infographicvqa_infographicvqa_1_181_0,3 million,public
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+infographicvqa_infographicvqa_1_267_8,Yes,public
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+infographicvqa_infographicvqa_1_275_0,5 years,public
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+infographicvqa_infographicvqa_1_292_6,Cd,public
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+infographicvqa_infographicvqa_1_304_4,Jpg,public
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+infographicvqa_infographicvqa_1_318_18,1955,public
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+infographicvqa_infographicvqa_1_323_3,China,public
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+infographicvqa_infographicvqa_1_334_1,1911,public
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+infographicvqa_infographicvqa_1_347_1,China,public
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+infographicvqa_infographicvqa_1_353_1,Cyprus,public
+infographicvqa_infographicvqa_1_357_1,3 out of 5 americans,public
+infographicvqa_infographicvqa_1_359_4,2,public
+infographicvqa_infographicvqa_1_363_3,Water,public
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+infographicvqa_infographicvqa_1_375_0,1,public
+infographicvqa_infographicvqa_1_381_3,11,public
+infographicvqa_infographicvqa_1_382_0,South america,public
+infographicvqa_infographicvqa_1_385_0,Sites like Groupon,public
+infographicvqa_infographicvqa_1_389_0,18,public
+infographicvqa_infographicvqa_1_392_0,2,public
+infographicvqa_infographicvqa_1_393_8,20%,public
+infographicvqa_infographicvqa_1_395_0,100,public
+infographicvqa_infographicvqa_1_395_8,College,public
+infographicvqa_infographicvqa_1_395_9,12%,public
+infographicvqa_infographicvqa_1_396_0,0,public
+infographicvqa_infographicvqa_1_403_0,2.5,public
+infographicvqa_infographicvqa_1_403_1,63,public
+infographicvqa_infographicvqa_1_406_3,1.3 billion,public
+infographicvqa_infographicvqa_1_407_5,Not exist explicitly as a span of document,public
+infographicvqa_infographicvqa_1_407_10,2,public
+infographicvqa_infographicvqa_1_409_1,$15 billion,public
+infographicvqa_infographicvqa_1_413_3,30,public
+infographicvqa_infographicvqa_1_413_4,"$67,000",public
+infographicvqa_infographicvqa_1_422_0,10,public
+infographicvqa_infographicvqa_1_432_8,Coca cola,public
+infographicvqa_infographicvqa_1_436_6,30%,public
+infographicvqa_infographicvqa_1_436_10,2,public
+infographicvqa_infographicvqa_1_440_1,1,public
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+infographicvqa_infographicvqa_1_445_8,1,public
+infographicvqa_infographicvqa_1_446_1,0,public
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+infographicvqa_infographicvqa_1_452_1,2012,public
+infographicvqa_infographicvqa_1_453_3,Sir robert mcalpine,public
+infographicvqa_infographicvqa_1_454_6,Usain bolt,public
+infographicvqa_infographicvqa_1_455_6,Michael phelps,public
+infographicvqa_infographicvqa_1_455_7,Michael phelps,public
+infographicvqa_infographicvqa_1_461_2,2,public
+infographicvqa_infographicvqa_1_466_1,15%,public
+infographicvqa_infographicvqa_1_467_6,16,public
+infographicvqa_infographicvqa_1_468_3,1,public
+infographicvqa_infographicvqa_1_471_5,2,public
+infographicvqa_infographicvqa_1_472_2,2019,public
+infographicvqa_infographicvqa_1_474_4,Facebook,public
+infographicvqa_infographicvqa_1_474_6,0,public
+infographicvqa_infographicvqa_1_474_8,1. Direct sourcing,public
+infographicvqa_infographicvqa_1_476_0,84,public
+infographicvqa_infographicvqa_1_477_0,0,public
+infographicvqa_infographicvqa_1_479_6,Instant communication,public
+infographicvqa_infographicvqa_1_480_1,Facebook,public
+infographicvqa_infographicvqa_1_484_3,45%,public
+infographicvqa_infographicvqa_1_487_4,250,public
+infographicvqa_infographicvqa_1_488_3,None,public
+infographicvqa_infographicvqa_1_491_5,42,public
+infographicvqa_infographicvqa_1_493_2,53,public
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+infographicvqa_infographicvqa_1_499_3,3,public