datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
standard-chess-games
[!CAUTION]
This dataset is still a work in progress and some breaking changes might occur.
Lichess Rated Standard Chess Games Dataset
Dataset Description
6,771,826,271 standard rated games, played on lichess.org, updated monthly from the database dumps.
This version of the data is meant for data analysis. If you need PGN files you can find those here. That said, once you have a subset of interest, it is trivial to convert it back to PGN as shown in the Dataset Usage… See the full description on the dataset page: https://huggingface.co/datasets/Lichess/standard-chess-games.glaive_function_calling_v1_standardizedriddle_sense_standardizedUltraFeedback-preference-standardWe include all the possible comparisons following the Instruct-GPT. We use the fine-grained_score.
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from datasets import load_dataset, DatasetDict
from transformers import AutoTokenizer
from tqdm import tqdm
from transformers import AutoTokenizer
ds = load_dataset("openbmb/UltraFeedback", split="train")
import itertools
data = []
for example in ds:
prompt = example['instruction']
responses = {}… See the full description on the dataset page: https://huggingface.co/datasets/RLHFlow/UltraFeedback-preference-standard.rw_roman-empire_standard_1_masklichess-standard-rated-2025-07-uci
Lichess Standard Rated 2025-07 (UCI, 1 row per game)
Built from lichess_db_standard_rated_2025-07.pgn.zst.
Columns: event, date, time_control, variant, termination, result,
white_elo, black_elo, num_plies, moves_uci
rw_pubmed_standard_6_maskrw_roman-empire_standard_2_masklichess_db_standard_rated_2024-07new_8b_self_corr_standardride-gold-standard
RIDE Gold Standard
RIDE Gold Standard is the full benchmark-ready release of the RIDE dataset. It contains fixed train/test snapshot splits, a canonical evaluation table, and model-ready representations for train delay prediction on Belgian passenger railway operations.
This release is intended as the primary benchmark tier for RIDE. It is used for full-scale evaluation and comparison of models under the shared RIDE prediction task and evaluation protocol.
Links… See the full description on the dataset page: https://huggingface.co/datasets/orailix/ride-gold-standard.rw_roman-empire_standard_6_maskrw_pubmed_standard_2_masklichess_db_standard_rated_2024-05lichess_db_standard_rated_2024-09rw_pubmed_standard_1_masklichess_db_standard_rated_2024-10mrfood_data_standardised
mrfood_data_standardised
ISR-standardized bimanual teleop dataset. Source PranayTest/bimanual-handover-2026-08-26
(agilex_piper_bimanual, 2 arms, task right_pick_handover_left_place) run through
ISR — Information-Standardized Trajectory Resampling (Yang et al., IROS 2026,
arXiv:2606.22907) to remove teleop pacing noise
(operator pauses / variable speed) while preserving reach + contact dynamics.
Metadata
field
value
episodes
86
fps
20
total frames… See the full description on the dataset page: https://huggingface.co/datasets/Kavin60606/mrfood_data_standardised.EventStoryLine-0.9-standard-ecilichess_db_standard_rated_2024-08rw_roman-empire_standard_1_mask_public
Dataset Card for "rw_roman-empire_standard_1_mask_public"
More Information needed
lichess_db_standard_rated_2024-06CoT-Collection-standardized
Dataset Card for "CoT-Collection-standardized"
More Information needed
Helpsteer-preference-standardrw_roman-empire_standard_6_mask_public
Dataset Card for "rw_roman-empire_standard_6_mask_public"
More Information needed
rw_roman-empire_standard_2_mask_public
Dataset Card for "rw_roman-empire_standard_2_mask_public"
More Information needed
rw_cora_ml_standard_6_maskanonymous-ride-gold-standard
RIDE Gold Standard
RIDE Gold Standard is the full benchmark-ready release of the RIDE dataset. It contains fixed train/test snapshot splits, a canonical evaluation table, and model-ready representations for train delay prediction on Belgian passenger railway operations.
This release is intended as the primary benchmark tier for RIDE. It is used for full-scale evaluation and comparison of models under the shared RIDE prediction task and evaluation protocol.
Links
Code… See the full description on the dataset page: https://huggingface.co/datasets/ano6060/anonymous-ride-gold-standard.Argilla-Math-DPO-standardlichess-standard-rated-2025-08-uci
Lichess Standard Rated 2025-08 (UCI, 1 row per game)
Built from lichess_db_standard_rated_2025-08.pgn.zst.
Columns: event, date, time_control, variant, termination, result,
white_elo, black_elo, num_plies, moves_uci