iqca-ml

byHardi Shah

heyy, read "final_dataset" and make me a readme file. for that paticular json file only. So it goes like write subtly that this folder contains 5 categories, which were extracted, (the 4 categories were extracted, name them which contains images and json file, and memory evaluation generated using opensource llms. The hints have been refined using gemma4 model. Now then mention about all json fields. the document has to be read likefirst it is analytical reasoning, it has images, the json fields. Each id corresponds to the images that they have. 3 fields, like category, topic, and topic display, are just solely for the purpose to refer to from which cateogry it was extracted, its just for reference. Images contain questions as well as options. Main fiels in cognitiva_category, which states it belong to which category out of 5, question text contains the question text, which is to be to displaced. It ends with a new line character(\n), question type would be of 2 types, either images (which contain questions and options in an image only with a main question text), if the type is text, then it contains text questions as well as options. option texts would be blank for the scenerios where images have option in it, and there would be 4 or 5 options if it is for text. next field has_options is false, if the image contains options in it, true if there are options present in option text. It may not be confused with any question doesnt have options. num_options define number of options whether 4 or 5. Correct answer depicts the correct answer of that. In explanation the field is only for llm reference for ml side internal and many doesnt not contain any explanation. image url and image local, contains image url of the source image. Hint explains is the tip column which shows the tip to solve a question. These has been regenerated using multimodal gemma4. source utl, would give the url for extracted data. Dataset contains images and text for analytical and logical, only images question for pattern and spatial, and memory evaluation has been generated using llm. In this the cognotive area has 3 types of approaches. The question text would flash for a few second with delay and a sequence would be shown. and the option texts are given , spatial memory relates to when the objects are shown in different area of the screen, after q021 in memory_evaluation_questions, u would find story_id and story_text field. This is third approach, where in memory a story is given and on the basis of that, questions are generated in sequence (from q01 to q07). these referes to te story. Note memory doesnt contain source url or any url since it was generated using opensource. The main fields are cogntive_category, id, question_text, option_texts, correct answer, and hint which can be displayed. REFRAME THIS WHOLE, WRITE A DETAILED README FILE BASED ON THE EXPLANATION I PROVIDED, PROPER JSON STRUCTURE, U CAN RESEQUENCE WHERE YOU FEEL THIS IS IMP AND TO BE ADDED FIRST OR LAST, EG FIELDS ETC.