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{"qid": "easy-airbnb-0000", "question": "What is the host's name for Amazing One Bedroom Apartment in Prime Brooklyn in Bushwick?", "answer": "Alan"}
{"qid": "easy-airbnb-0001", "question": "What is the host's name for Bright, Quiet Astoria 1 Bedroom near trains, MoMi in Astoria?", "answer": "Collin"}
{"qid": "easy-airbnb-0002", "question": "What is the host's name for ★Designer 3BR Apt★ In Times Square in Hell's Kitchen?", "answer": "Vivian"}
{"qid": "easy-airbnb-0003", "question": "What is the host's name for Spacious 3BR Apt - 12 Min to Manhattan in Long Island City?", "answer": "Timo"}
{"qid": "easy-airbnb-0004", "question": "What is the host's name for Charming brownstone apartment in Columbia St?", "answer": "Chapman"}
{"qid": "easy-airbnb-0005", "question": "What is the host's name for Large Room in Trendy Bushwick - 4 in Bushwick?", "answer": "Anthony"}
{"qid": "easy-airbnb-0006", "question": "What is the host's name for Sanabria’s house in Bushwick?", "answer": "Edwin"}
{"qid": "easy-airbnb-0007", "q
{
"questions": [
{
"question": "How can I create an account?",
"answer": "To create an account, click on the 'Sign Up' button on the top right corner of our website and follow the instructions to complete the registration process."
},
{
"question": "What payment methods do you accept?",
"answer": "We accept major credit cards, debit cards, and PayPal as payment methods for online orders."
},
This file has been truncated, but you can view the full file.
{"version": "v2.0", "data": [{"title": "Normans", "paragraphs": [{"qas": [{"question": "In what country is Normandy located?", "id": "56ddde6b9a695914005b9628", "answers": [{"text": "France", "answer_start": 159}, {"text": "France", "answer_start": 159}, {"text": "France", "answer_start": 159}, {"text": "France", "answer_start": 159}], "is_impossible": false}, {"question": "When were the Normans in Normandy?", "id": "56ddde6b9a695914005b9629", "answers": [{"text": "10th and 11th centuries", "answer_start": 94}, {"text": "in the 10th and 11th centuries", "answer_start": 87}, {"text": "10th and 11th centuries", "answer_start": 94}, {"text": "10th and 11th centuries", "answer_start": 94}], "is_impossible": false}, {"question": "From which countries did the Norse originate?", "id": "56ddde6b9a695914005b962a", "answers": [{"text": "Denmark, Iceland and Norway", "answer_start": 256}, {"text": "Denmark, Iceland and Norway", "answer_start": 256}, {"text": "Denmark, Iceland and Norway", "answer_start": 256}, {"text":
image,caption
1000268201_693b08cb0e.jpg,A child in a pink dress is climbing up a set of stairs in an entry way .
1000268201_693b08cb0e.jpg,A girl going into a wooden building .
1000268201_693b08cb0e.jpg,A little girl climbing into a wooden playhouse .
1000268201_693b08cb0e.jpg,A little girl climbing the stairs to her playhouse .
1000268201_693b08cb0e.jpg,A little girl in a pink dress going into a wooden cabin .
1001773457_577c3a7d70.jpg,A black dog and a spotted dog are fighting
1001773457_577c3a7d70.jpg,A black dog and a tri-colored dog playing with each other on the road .
1001773457_577c3a7d70.jpg,A black dog and a white dog with brown spots are staring at each other in the street .
1001773457_577c3a7d70.jpg,Two dogs of different breeds looking at each other on the road .
This file has been truncated, but you can view the full file.
INSERT INTO categories VALUES (1,2,'Football'),(2,2,'Soccer'),(3,2,'Baseball & Softball'),(4,2,'Basketball'),(5,2,'Lacrosse'),(6,2,'Tennis & Racquet'),(7,2,'Hockey'),(8,2,'More Sports'),(9,3,'Cardio Equipment'),(10,3,'Strength Training'),(11,3,'Fitness Accessories'),(12,3,'Boxing & MMA'),(13,3,'Electronics'),(14,3,'Yoga & Pilates'),(15,3,'Training by Sport'),(16,3,'As Seen on TV!'),(17,4,'Cleats'),(18,4,'Men''s Footwear'),(19,4,'Women''s Footwear'),(20,4,'Kids'' Footwear'),(21,4,'Featured Shops'),(22,4,'Accessories'),(23,5,'Men''s Apparel'),(24,5,'Women''s Apparel'),(25,5,'Boys'' Apparel'),(26,5,'Girls'' Apparel'),(27,5,'Accessories'),(28,5,'Top Brands'),(29,5,'Shop By Sport'),(30,6,'Men''s Golf Clubs'),(31,6,'Women''s Golf Clubs'),(32,6,'Golf Apparel'),(33,6,'Golf Shoes'),(34,6,'Golf Bags & Carts'),(35,6,'Golf Gloves'),(36,6,'Golf Balls'),(37,6,'Electronics'),(38,6,'Kids'' Golf Clubs'),(39,6,'Team Shop'),(40,6,'Accessories'),(41,6,'Trade-In'),(42,7,'Bike & Skate Shop'),(43,7,'Camping & Hiking'),(44,7,'Hunti
@andysingal
andysingal / main.py
Created May 20, 2023 13:22
Langchain integration with Pinecone
import os
from langchain.text_splitter import PythonCodeTextSplitter
from langchain.document_loaders import TextLoader
from langchain.text_splitter import CharacterTextSplitter
from langchain.text_splitter import PythonCodeTextSplitter
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import Pinecone
from langchain import VectorDBQA, OpenAI
import pinecone
{
"public_identifier": "eden-marco",
"profile_pic_url": "https://s3.us-west-000.backblazeb2.com/proxycurl/person/eden-marco/profile?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=0004d7f56a0400b0000000001%2F20230514%2Fus-west-000%2Fs3%2Faws4_request&X-Amz-Date=20230514T164946Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=9ad156df033ffdc7294dd88ccd8db62df6f04914ff5d4137447b804e09406c42",
"background_cover_image_url": null,
"first_name": "Eden",
"last_name": "Marco",
"full_name": "Eden Marco",
"follower_count": null,
"occupation": "Customer Engineer at Google",
"headline": "Customer Engineer @ Google Cloud | Best-selling Udemy Instructor",
@andysingal
andysingal / anna.ipynb
Created May 4, 2023 08:42 — forked from krischer/anna.ipynb
anna.ipynb
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@andysingal
andysingal / colormaps.ipynb
Created May 4, 2023 08:32 — forked from krischer/colormaps.ipynb
Perceptually Uniform Colormaps in Matplotlib
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import boto3
import pandas as pd
from io import StringIO, BytesIO
from datetime import datetime, timedelta
from multiprocessing import Pool, cpu_count
def read_csv_from_s3_multiprocessing(bucket_name, date_str, num_processes=1, batch_size=10):
date_dt = datetime.strptime(date_str, '%Y-%m-%d').date() - timedelta(days=1)
s3 = boto3.resource('s3')
bucket = s3.Bucket(bucket_name)