Spaces:
Running on Zero
Running on Zero
Download tasks.py from OpenPeerAI/NTK-Trainer-Demo: direct link, hf CLI and curl.
- Browser
- Download file 4.01 kB
-
https://huggingface.co/spaces/OpenPeerAI/NTK-Trainer-Demo/resolve/main/tasks.py
- Command line
-
hf download hf://spaces/OpenPeerAI/NTK-Trainer-Demo/tasks.py
-
curl -L -o tasks.py https://huggingface.co/spaces/OpenPeerAI/NTK-Trainer-Demo/resolve/main/tasks.py
4.01 kB
| COUNTRY_CAPITALS = [ | |
| ("France", "Paris"), | |
| ("Japan", "Tokyo"), | |
| ("Egypt", "Cairo"), | |
| ("Italy", "Rome"), | |
| ("Spain", "Madrid"), | |
| ("Germany", "Berlin"), | |
| ("Kenya", "Nairobi"), | |
| ("Peru", "Lima"), | |
| ("Canada", "Ottawa"), | |
| ("Norway", "Oslo"), | |
| ("Greece", "Athens"), | |
| ("Turkey", "Ankara"), | |
| ("Chile", "Santiago"), | |
| ("Cuba", "Havana"), | |
| ("Iran", "Tehran"), | |
| ("Iraq", "Baghdad"), | |
| ("Ireland", "Dublin"), | |
| ("Portugal", "Lisbon"), | |
| ("Austria", "Vienna"), | |
| ("Hungary", "Budapest"), | |
| ("Poland", "Warsaw"), | |
| ("Sweden", "Stockholm"), | |
| ("Finland", "Helsinki"), | |
| ("Denmark", "Copenhagen"), | |
| ("Thailand", "Bangkok"), | |
| ("Vietnam", "Hanoi"), | |
| ("Nepal", "Kathmandu"), | |
| ("Jordan", "Amman"), | |
| ("Lebanon", "Beirut"), | |
| ("Morocco", "Rabat"), | |
| ("Ghana", "Accra"), | |
| ("Senegal", "Dakar"), | |
| ("Ethiopia", "Addis Ababa"), | |
| ("Uganda", "Kampala"), | |
| ("Zambia", "Lusaka"), | |
| ("Argentina", "Buenos Aires"), | |
| ("Colombia", "Bogota"), | |
| ("Venezuela", "Caracas"), | |
| ("Ecuador", "Quito"), | |
| ("Uruguay", "Montevideo"), | |
| ] | |
| ANTONYMS = [ | |
| ("hot", "cold"), | |
| ("big", "small"), | |
| ("fast", "slow"), | |
| ("up", "down"), | |
| ("open", "closed"), | |
| ("light", "dark"), | |
| ("early", "late"), | |
| ("rich", "poor"), | |
| ("strong", "weak"), | |
| ("full", "empty"), | |
| ("wet", "dry"), | |
| ("hard", "soft"), | |
| ("high", "low"), | |
| ("long", "short"), | |
| ("loud", "quiet"), | |
| ("happy", "sad"), | |
| ("young", "old"), | |
| ("clean", "dirty"), | |
| ("thick", "thin"), | |
| ("near", "far"), | |
| ("sweet", "sour"), | |
| ("heavy", "light"), | |
| ("wide", "narrow"), | |
| ("deep", "shallow"), | |
| ("sharp", "dull"), | |
| ("brave", "cowardly"), | |
| ("cheap", "expensive"), | |
| ("smooth", "rough"), | |
| ("tight", "loose"), | |
| ("true", "false"), | |
| ("begin", "end"), | |
| ("buy", "sell"), | |
| ("push", "pull"), | |
| ("win", "lose"), | |
| ("give", "take"), | |
| ("love", "hate"), | |
| ("accept", "refuse"), | |
| ("arrive", "depart"), | |
| ("remember", "forget"), | |
| ("laugh", "cry"), | |
| ] | |
| UPPERCASE_WORDS = [ | |
| "river", | |
| "mountain", | |
| "library", | |
| "pyramid", | |
| "desert", | |
| "harbour", | |
| "village", | |
| "castle", | |
| "garden", | |
| "forest", | |
| "bridge", | |
| "island", | |
| "temple", | |
| "market", | |
| "palace", | |
| "valley", | |
| "canyon", | |
| "glacier", | |
| "meadow", | |
| "orchard", | |
| "lantern", | |
| "compass", | |
| "anchor", | |
| "ladder", | |
| "window", | |
| "mirror", | |
| "candle", | |
| "basket", | |
| "pillow", | |
| "blanket", | |
| "piano", | |
| "violin", | |
| "trumpet", | |
| "guitar", | |
| "drum", | |
| "flute", | |
| "harp", | |
| "cello", | |
| "banjo", | |
| "organ", | |
| ] | |
| def _pairs(prompt_fmt: str, comp_fmt: str, items) -> str: | |
| return "\n".join(f"{prompt_fmt.format(a)}\t{comp_fmt.format(b)}" for a, b in items) | |
| TASKS = { | |
| "Country to capital": _pairs("Country: {}\nCapital:", "{}", COUNTRY_CAPITALS), | |
| "Antonyms": _pairs("The opposite of {} is", "{}", ANTONYMS), | |
| "Uppercase the word": _pairs( | |
| "Input: {}\nOutput:", "{}", [(w, w.upper()) for w in UPPERCASE_WORDS] | |
| ), | |
| "Two-digit addition": "\n".join( | |
| f"Question: {a} + {b} = ?\tAnswer: {a+b}" | |
| for a, b in [ | |
| (14, 27), | |
| (36, 18), | |
| (47, 36), | |
| (19, 8), | |
| (52, 29), | |
| (63, 17), | |
| (25, 44), | |
| (71, 9), | |
| (38, 23), | |
| (15, 55), | |
| (84, 12), | |
| (29, 31), | |
| (46, 33), | |
| (58, 21), | |
| (67, 14), | |
| (23, 49), | |
| (31, 42), | |
| (76, 13), | |
| (18, 64), | |
| (55, 27), | |
| (42, 39), | |
| (61, 28), | |
| (37, 45), | |
| (24, 57), | |
| (69, 22), | |
| (16, 73), | |
| (48, 35), | |
| (53, 19), | |
| (32, 66), | |
| (77, 11), | |
| ] | |
| ), | |
| } | |