Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
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Notice of DMCA Takedown Action
We have received a DMCA takedown notice from The Pokémon Company International, Inc. In response to this action, we have taken down the dataset. We appreciate your understanding.
This data set includes 898 Pokemon, 1072 including alternate forms, including their number, name, first and second type, the stat total and basic stats: HP, Attack, Defense, Special Attack, Special Defense, and Speed, generation, and legendary status. It has been of great use when teaching statistics to kids. With certain types you can also give a geeky introduction to machine learning.
These are the raw attributes that are used for calculating how much damage an attack will do in the games. This dataset is about the pokemon games (NOT pokemon cards or Pokemon Go).
Number: The ID for each pokemon
Name: The name of each pokemon
Type 1: Each pokemon has a type, this determines weakness/resistance to attacks
Type 2: Some pokemon are dual type and have 2
Total: Sum of all stats that come after this, a general guide to how strong a pokemon is
HP: Hit points, or health, defines how much damage a pokemon can withstand before fainting
Attack: The base modifier for normal attacks (eg. Scratch, Punch)
Defense: The base damage resistance against normal attacks
SP Atk: Special attack, the base modifier for special attacks (e.g. fire blast, bubble beam)
SP Def: Special defense, the base damage resistance against special attacks
Speed: Determines which pokemon attacks first each round
Generation: The generation of games where the pokemon was first introduced
Legendary: Some pokemon are much rarer than others, and are dubbed "legendary"
Inspiration: The type of a pokemon cannot be inferred only by its Attack and Defense. It would be worthy to find which two variables can define the type of a pokemon, if any. Two variables can be plotted in a 2D space, and used as an example for machine learning. This could mean the creation of a visual example any geeky Machine Learning class would love.
Source: Kaggle
https://www.kaggle.com/abcsds/pokemon
Original Source:
http://www.pokemon.com/us/pokedex/
http://bulbapedia.bulbagarden.net/wiki/List_of_Pok%C3%A9mon_by_National_Pok%C3%A9dex_number
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This dataset is contains information about Pokémon from various generations. It includes attributes such as Pokémon ID, name, type, abilities, base stats, and evolution details.
In the Pokémon world, trainers catch and train fictional creatures called Pokémon to battle against each other. The trainers, known as Pokémon trainers, embark on journeys to become Pokémon Masters, exploring different regions, capturing new Pokémon, and competing in battles.
Each Pokémon has its own unique characteristics, abilities, and types. There are various types of Pokémon, such as Fire, Water, Grass, Electric, Psychic, and many more. Pokémon can evolve into stronger forms as they gain experience and reach certain levels.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
I collected this dataset for my school project. The project is to train GAN to generate new Pokemon. I had a difficult time finding a training dataset that is complete and clean. So I gather this collection of images and publish it here hoping that it will help others who need a similar dataset.
You can find my project on my Github My latest code to generate pokemon Github
819 transparent Pokemon images in png format size 256x256.
I collected the image mostly from this website https://veekun.com/dex/downloads
Banner image is taken from https://viking011.deviantart.com/art/Pokemon-Poster-436455502
Since I failed to generate new Pokemon with clarity (I can only generate the shape) I wish there will be others that could do it with this dataset. If you managed to, please share it!
valhalla/pokemon-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
sayannath/pokemon-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘All Pokemon Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/maca11/all-pokemon-dataset on 12 November 2021.
--- Dataset description provided by original source is as follows ---
This Dataset contains data from all Pokemons and their forms from the eight generations. It includes their number, name, primary and secondary type, abilities, base stats, performance vs other types, etc. Data was scrapped from serebii bulbapedia and pokemon database
Three new columns have been added:
--- Original source retains full ownership of the source dataset ---
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This Dataset contains data from all Pokemons and their forms from the eight generations. It includes their number, name, primary and secondary type, abilities, base stats, performance vs other types, etc. Data was scrapped from serebii bulbapedia and pokemon database
Three new columns have been added:
7000 hand-cropped and labeled Pokemon images for classification
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Pokémon data extrated from the pokedex
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains Pokémon data in KBox kb format.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Complete Pokemon Data Set’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/kylekohnen/complete-pokemon-data-set on 30 September 2021.
--- Dataset description provided by original source is as follows ---
This Pokemon data set contains 1118 different Pokemon. Most of the data was pulled from PokeAPI. Other data sources include PokemonDB and Serebii.
Pokemon with special forms (e.g. Mega Evolutions, G-Max, etc.) have their own data entry for the special forms.
--- Original source retains full ownership of the source dataset ---
Here you can find a huge dataset with a various characteristics of pokemons: Name, Type1, Type2, Health point, attack, defense, speed, generation, legendary.
What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.
We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.
Your data will be in front of the world's largest data science community. What questions do you want to see answered?
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Dataset Card for Pokémon BLIP captions
Dataset used to train Pokémon text to image model BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis (FastGAN). Original images were obtained from FastGAN-pytorch and captioned with the pre-trained BLIP model. For each row the dataset contains image and text keys. image is a varying size PIL jpeg, and text is the… See the full description on the dataset page: https://huggingface.co/datasets/polinaeterna/pokemon-blip-captions.
Dataset Labels
['Porygon', 'Goldeen', 'Hitmonlee', 'Hitmonchan', 'Gloom', 'Aerodactyl', 'Mankey', 'Seadra', 'Gengar', 'Venonat', 'Articuno', 'Seaking', 'Dugtrio', 'Machop', 'Jynx', 'Oddish', 'Dodrio', 'Dragonair', 'Weedle', 'Golduck', 'Flareon', 'Krabby', 'Parasect', 'Ninetales', 'Nidoqueen', 'Kabutops', 'Drowzee', 'Caterpie', 'Jigglypuff', 'Machamp', 'Clefairy', 'Kangaskhan', 'Dragonite', 'Weepinbell', 'Fearow', 'Bellsprout', 'Grimer', 'Nidorina', 'Staryu', 'Horsea'… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pokemon-classification.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
(Summary copied from Kaggle page)
This dataset stems from Alberto Barradas' popular Pokemon with stats dataset by listing the tiered Pokemon in Smogon 6v6.
Smogon 6v6 is one of the most popular formats for competitive Pokemon. Although it is not the "official" competitive format, there is still a significant number of people who play the format. There are a number of 'tiers' of Pokemon in which people can play, the most popular being OU. This dataset seeks to display both a Pokemon's stats and corresponding tier for easier competitive analysis.
In addition to the addition of the 'Tier' variable, there are several other changes I made to the set:
Note that this dataset includes only Pokemon tiered from PU to AG. NFE and LC Pokemon are not included unless they appear in Smogon's list. List of which Pokemon are in which tier was found here.
Thank you to Alberto Barradas for his comprehensive Pokemon dataset.
Citation
@article{DBLP:journals/corr/abs-2101-04775, author = {Bingchen Liu and Yizhe Zhu and Kunpeng Song and Ahmed Elgammal}, title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot Image Synthesis}, journal = {CoRR}, volume = {abs/2101.04775}, year = {2021}, url = {https://arxiv.org/abs/2101.04775}, eprinttype = {arXiv}, eprint = {2101.04775}… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-pokemon.
https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/
Source: https://www.kaggle.com/datasets/rounakbanik/pokemon
Also published to https://datasette.fly.dev/pokemon/pokemon using datasette Columns:
name: The English name of the Pokemon japanese_name: The Original Japanese name of the Pokemon pokedex_number: The entry number of the Pokemon in the National Pokedex percentage_male: The percentage of the species that are male. Blank if the Pokemon is genderless. type1: The Primary Type of the Pokemon type2: The Secondary Type of the… See the full description on the dataset page: https://huggingface.co/datasets/julien-c/kaggle-rounakbanik-pokemon.
Pemmmm/pokemon dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Notice of DMCA Takedown Action
We have received a DMCA takedown notice from The Pokémon Company International, Inc. In response to this action, we have taken down the dataset. We appreciate your understanding.