Datasets:
| { | |
| "task": "expense line -> strict JSON record", | |
| "seed": 0, | |
| "counts": { | |
| "train": 4000, | |
| "val": 500, | |
| "test": 500, | |
| "pref": 600 | |
| }, | |
| "categories": [ | |
| "food", | |
| "transport", | |
| "groceries", | |
| "utilities", | |
| "entertainment", | |
| "health", | |
| "shopping", | |
| "travel", | |
| "other" | |
| ], | |
| "train_merchants": [ | |
| "Swiggy", | |
| "Zomato", | |
| "Dominos", | |
| "Starbucks", | |
| "Cafe Coffee Day", | |
| "KFC", | |
| "Subway", | |
| "Chai Point", | |
| "Uber", | |
| "Ola", | |
| "Rapido", | |
| "Metro Card", | |
| "BluSmart", | |
| "BigBasket", | |
| "Blinkit", | |
| "Zepto", | |
| "DMart", | |
| "Reliance Fresh", | |
| "Airtel", | |
| "Jio", | |
| "Tata Power", | |
| "BSNL", | |
| "Act Fibernet", | |
| "Netflix", | |
| "Spotify", | |
| "PVR Cinemas", | |
| "BookMyShow", | |
| "Apollo Pharmacy", | |
| "Practo", | |
| "Cult Fit", | |
| "1mg", | |
| "Amazon", | |
| "Flipkart", | |
| "Myntra", | |
| "Croma", | |
| "Decathlon", | |
| "IndiGo", | |
| "MakeMyTrip", | |
| "IRCTC", | |
| "Airbnb", | |
| "Oyo Rooms", | |
| "Razorpay", | |
| "Paytm", | |
| "PhonePe" | |
| ], | |
| "held_out_merchants": [ | |
| "Faasos", | |
| "Third Wave Coffee", | |
| "Namma Yatri", | |
| "Licious", | |
| "Vodafone Idea", | |
| "JioHotstar", | |
| "MedPlus", | |
| "Nykaa", | |
| "Vistara", | |
| "Cleartrip", | |
| "Zerodha", | |
| "Groww" | |
| ], | |
| "pref_merchants": [ | |
| "Bikanervala", | |
| "Barbeque Nation", | |
| "Uber Auto", | |
| "Country Delight", | |
| "Tata Play", | |
| "Dr Lal PathLabs", | |
| "Ajio", | |
| "Agoda" | |
| ], | |
| "held_out_axes": [ | |
| "merchants", | |
| "date phrasings", | |
| "purpose phrasings", | |
| "currency formats", | |
| "split phrasings", | |
| "sentence templates" | |
| ], | |
| "system_prompt": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), split (integer, 1 if not stated), note (string or null). Reply with the JSON object only." | |
| } |