Jeremy Pinto jerpint
jerpint
/ imagenet_refs.json
Created
May 10, 2022 14:24
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| { | |
| "n01440764": "tench", | |
| "n01443537": "goldfish", | |
| "n01484850": "great_white_shark", | |
| "n01491361": "tiger_shark", | |
| "n01494475": "hammerhead", | |
| "n01496331": "electric_ray", | |
| "n01498041": "stingray", | |
| "n01514668": "cock", | |
| "n01514859": "hen", |
jerpint
/ map_clsloc.txt
Created
May 10, 2022 13:52
— forked from aaronpolhamus/map_clsloc.txt
Image net classes + labels
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| n02119789 1 kit_fox | |
| n02100735 2 English_setter | |
| n02110185 3 Siberian_husky | |
| n02096294 4 Australian_terrier | |
| n02102040 5 English_springer | |
| n02066245 6 grey_whale | |
| n02509815 7 lesser_panda | |
| n02124075 8 Egyptian_cat | |
| n02417914 9 ibex | |
| n02123394 10 Persian_cat |
jerpint
/ healthtap_extraction.py
Created
April 7, 2020 19:44
Extract questions and anwers from healthtap dataset
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| import ast | |
| import pandas as pd | |
| data = pd.read_csv('path_to_healthtap_file.csv') | |
| all_questions = [] | |
| all_answers = [] | |
| for question, answer_format in zip(data.question, data.answers): | |
| try: | |
| if answer_format != "[]": | |
| all_answers.append(ast.literal_eval(answer_format)[0]["answer"]) |