Change readme to point to the website as well
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				|  | @ -1,8 +1,8 @@ | |||
| ## What this is  | ||||
| 
 | ||||
| This is a set of libraries and a command line interface that fetches probabilities/forecasts from prediction markets and forecasting platforms. These forecasts are then hosted on airtable, and used to power a search engine for probabilities.  | ||||
| This is a set of libraries and a command line interface that fetches probabilities/forecasts from prediction markets and forecasting platforms.  | ||||
| 
 | ||||
| For now, a demo can be found [here](https://metaforecast.org/) (try searching "Trump", "China" or "Semiconductors"), and the database can be perused [here](https://airtable.com/shrUotmcMmmTdIjmX). I also have a json endpoint [here](https://metaforecast.org/data/metaforecasts.json) and a csv endpoint [here](https://metaforecast.org/data/metaforecasts.csv). | ||||
| These forecasts are then used to power a search engine for probabilities, which can be found [here](https://metaforecast.org/) (try searching "Trump", "China" or "Semiconductors") (source code [here](https://github.com/QURIresearch/metaforecast-website-nextjs)). A json endpoint can be found [here](https://metaforecast.org/data/metaforecasts.json). | ||||
| 
 | ||||
| I also created a search engine using Elicit's IDE, which uses GPT-3 to deliver vastly superior semantic search (as opposed to fuzzy word matching). If you have access to the Elicit IDE, you can use the action "Search Metaforecast database". | ||||
| 
 | ||||
|  |  | |||
|  | @ -18,7 +18,7 @@ import {smarkets} from "./smarkets-fetch.js" | |||
| let opts = {} | ||||
| let json2csvParser = new Parser({ transforms:  [transforms.flatten()]}); | ||||
| //let parse = csv => json2csvParser.parse(csv);
 | ||||
| let sets = ["template", "elicit", "metaculus", "predictit", "polymarket", "csetforetell", "goodjudgment","goodjudmentopen", "omen", "hypermind", "smarkets"] | ||||
| let sets = ["template", "elicit", "metaculus", "predictit", "polymarket", "csetforetell", "givewellopenphil", "goodjudgment","goodjudmentopen", "omen", "hypermind", "smarkets"] | ||||
| let suffix = "-questions" | ||||
| let locationData = "./data/" | ||||
| let sleep = (ms) => new Promise(resolve => setTimeout(resolve, ms)); | ||||
|  |  | |||
							
								
								
									
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							|  | @ -0,0 +1,36 @@ | |||
| /* Imports */ | ||||
| import fs from "fs" | ||||
| 
 | ||||
| /* Definitions */ | ||||
| let locationData = "./data/" | ||||
| 
 | ||||
| /* Body */ | ||||
| let rawdata = fs.readFileSync("../data/givewellopenphil-questions-processed-old-format.json") | ||||
| let data = JSON.parse(rawdata) | ||||
| 
 | ||||
| let results = [] | ||||
| for(let datum of data){ | ||||
|   let probability = Math.round(Number(datum["Percentage"].replace("%","")))/100 | ||||
|     let result = ({ | ||||
|     "title": datum["Title"], | ||||
|     "platform": datum["Platform"], | ||||
|     "description": datum["Description"], | ||||
|     "options": [ | ||||
|       { | ||||
|         "name": "Yes", | ||||
|         "probability": probability, | ||||
|         "type": "PROBABILITY" | ||||
|       }, | ||||
|       { | ||||
|         "name": "No", | ||||
|         "probability": 1-Math.round(probability*100)/100, | ||||
|         "type": "PROBABILITY" | ||||
|       } | ||||
|     ], | ||||
|     "stars": datum["Stars"] | ||||
|   }) | ||||
|   results.push(result) | ||||
| } | ||||
| 
 | ||||
| let string = JSON.stringify(results,null,  2) | ||||
| fs.writeFileSync("../data/givewellopenphil-questions.json", string) | ||||
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