SQuAD v1.1 A dataset for question answering and reading comprehension from a set of Wikipedia articles The Stanford Question Answering Dataset (SQuAD) consists of questions posed by crowd workers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage. It contains more than 100,000 question-answer pairs about passages from 536 articles chosen from various domains of Wikipedia. Tiled can export maps as JSON files. Stanford Question Answering Dataset (SQuAD) is a new reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage. Luckily, Github lets us extract these data, but the data comes in JSON format. JSON or JavaScript Object Notation is a language-independent open data format that uses human-readable text to express data objects consisting of attribute-value pairs. JavaScript Object Notation (JSON, pronounced / ˈ dʒ eɪ s ən /; also / ˈ dʒ eɪ ˌ s ɒ n /) is an open standard file format, and data interchange format, that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and array data types (or any other serializable value). JSON Example: Play with JSON data: Insurance Company JSON

Automatic handling of a number of card effects (pilots, upgrades,...). I have written different functions for training and dev data as dev data have multiple answers for same questions unlike training data have only single.. To do so, simply select “File > Export As” and select the JSON file type. It is not, itself, that structure. JSON Map Format¶. Luckily, Github lets us extract these data, but the data comes in JSON format. JSON (JavaScript Object Notation) is a lightweight data-interchange format. Detection of collisions with other ships and asteroids, automatic handling of stress, action and combat effects, rolling hit dice for possible hits and criticals. The dataset is publicly available on the website. We are creating input_file.json as a blank JSON file and then add the data in the file in the SQuAD dataset format. Import your squads using JSON format or text format Move units and perform their actions as in the real game. You can export json from the command line with the --export-map option.. But if you can create a python dict looking like this with your data, you can make a json file from it and use it as training data in the run_squad.py script. The conversion from your custom data to this format depends on the current format of your data. JSON or JavaScript Object Notation is a language-independent open data format that uses human-readable text to express data objects consisting of attribute-value pairs. We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the corresponding reading passage. We analyze the dataset to understand the types of reasoning required to answer the questions, … JSON Formatter Online and JSON Validator Online work well in Windows, Mac, Linux, Chrome, Firefox, Safari, and Edge and it's free. SQuAD is the Stanford Question Answering Dataset. It is easy for machines to parse and generate. SQuAD is a reading comprehension dataset and a standard benchmark for QA models. It has been a bit tricky to work with JSON data in general, not just with R, because of the nested and hierarchical nature of the data, until I met this amazing package called ‘jsonlite’, which helps us work with JSON data a lot easier and faster in R. With 100,000+ question-answer pairs on 500+ articles, SQuAD is significantly larger than previous reading comprehension … To run on SQuAD 2.0, you will first need to download the dataset. You build the object before encoding it to a JSON string: import json data = {} data['key'] = 'value' json_data = json.dumps(data) JSON is a serialization format, textual data representing a structure.