replay
Datasets
All datasets matching “replay”leaague-of-legends-decoded-replay-packets-s12-unorganized
Disclaimer
This work isn’t endorsed by Riot Games and doesn’t reflect the views or opinions of Riot Games or anyone officially involved in producing or managing League of Legends. League of Legends and Riot Games are trademarks or registered trademarks of Riot Games, Inc.
Citation
If you use this dataset in your research, please cite:
@dataset{league_of_legends_decoded_replay_packets_2025,
title={League of Legends Decoded Replay Packets Dataset},
author={maknee}… See the full description on the dataset page: https://huggingface.co/datasets/maknee/leaague-of-legends-decoded-replay-packets-s12-unorganized.clash-royale-tv-replays
Clash Royale TV Replays
Frame-by-frame gameplay recordings (~10 fps) from Clash Royale's TV Royale, covering all 31 arenas. Automated recording using tools from our github repository.
Structure
arena_{XX}/{replay_uuid}/
├── frames.parquet # Frame data
└── preview.jpg # First frame thumbnail
Parquet Schema:
frame_id (int64): Frame number
image (Image): PNG bytes
hash (string): MD5 for deduplication
Usage
from huggingface_hub import hf_hub_download… See the full description on the dataset page: https://huggingface.co/datasets/chrisrca/clash-royale-tv-replays.disco-replay
DiSCo as a replay phantom
The DiSCo substrate (Rafael-Patino, Girard, Truffet, Pizzolato, Caruyer, Thiran, The diffusion-simulated
connectivity (DiSCo) dataset, Data in Brief 38 (2021) 107429, doi:10.1016/j.dib.2021.107429; data
doi:10.17632/fgf86jdfg6.3, CC BY 4.0) walked once and stored as a replay pack, so that any acquisition a human
scanner can play is a replay of the same walk, voxel by voxel on the dataset's own 40³ grid of 25 µm voxels, with
a per-voxel Monte-Carlo… See the full description on the dataset page: https://huggingface.co/datasets/SubstrateCommons/disco-replay.clash-royale-tv-replays
Clash Royale TV Replays
Frame-by-frame gameplay recordings (~10 fps) from Clash Royale's TV Royale, covering all 31 arenas. Automated recording using tools from our github repository.
Structure
arena_{XX}/{replay_uuid}/
├── frames.parquet # Frame data
└── preview.jpg # First frame thumbnail
Parquet Schema:
frame_id (int64): Frame number
image (Image): PNG bytes
hash (string): MD5 for deduplication
Usage
from huggingface_hub import hf_hub_download… See the full description on the dataset page: https://huggingface.co/datasets/Chutdedededede/clash-royale-tv-replays.melee-ranked-replays
Melee Ranked Replays
Anonymized Slippi ranked replays (platinum+) from Super Smash Bros. Melee,
sharded by character and rank pair. Built for behavior-cloning and other
replay-driven ML work on Melee — notably MIMIC.
Contents
Raw .slp files grouped into tarballs by (character, rank_pair, source_archive),
organized into per-character folders:
{CHAR}/
{CHAR}_{rank_pair}_a{N}.tar.gz
metadata/
metadata_a{N}.json
Characters (25): BOWSER, CPTFALCON, DK, DOC, FALCO… See the full description on the dataset page: https://huggingface.co/datasets/erickfm/melee-ranked-replays.yxp_replaysyxp_replays is a collection of replay files from Yi Xian, an asymmetric autobattler card game in which each player has their own card pool and rearranging one's cards to anticipate the opponent's card arrangement can almost always achieve a win in a given battle (as opposed to autobattlers such as teamfight tactics which feature a shared pool of game pieces and a huge number of battles that could not really be won by optimal positioning given knowledge of the opponent's positioning).… See the full description on the dataset page: https://huggingface.co/datasets/sharpobject/yxp_replays.