datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
binance-top50-spot-v1
Binance Top 50 Backtesting Dataset
Built at: 2026-05-21T11:53:45.468482+00:00
Parameters
Lookback: 1 days
Top N: 3
Trade Types: spot, um
Data Types: klines, aggTrades
Build Status
SPOT: 3 symbols
klines: 3/3 healthy
aggTrades: 3/3 healthy
UM: 3 symbols
klines: 3/3 healthy
aggTrades: 3/3 healthy
fundingRate: 3/3 healthy
icd_naive_sft_mimic4_top50european-football-matches-top5
⚽️ European Top 5 Football Leagues Match Stats (QiuXiaoCe Dataset)
欧洲五大联赛(英超、西甲、意甲、德甲、法甲)历史比赛攻防与比分开放研究数据集。
由 球小策(qiuxiaoce.com) 足球大数据中心清洗、校验并开源,供机器学习、体育运筹学、泊松分布赛果预测模型与量化分析研究使用。
🌐 数据事实源: 球小策 AI 足球数据中心
📊 每日分析与赛前速览: https://www.qiuxiaoce.com/mei-ri-bao-gao-su-lan/
💻 官方 Python SDK: pip install qiuxiaoce (PyPI)
📋 数据集字段说明
字段名
类型
说明
fixture_id
Integer
国际通用比赛唯一 ID
date
String
比赛开赛时间(ISO 8601 UTC)
season
Integer
赛季起始年份(如 2024 代表 2024/25 赛季)
league… See the full description on the dataset page: https://huggingface.co/datasets/ddzyx/european-football-matches-top5.e1_gpt_long_top50_weighted_top4_glm47_tracesInfoseek-train-with-EvaClip-retrieval-top5multiqa_top5The dataset is originated by dmrau/multi_qa.
The topk passages are retrieved by SPLADE-v3 and the pred_answer is generated with Mistral-7B-Instruct-v0.2 with the retrieved passages.
counterfact_true_false_top512_logitstrivia-top5_preprocessedswebench-pro-top5-trajectories
SWE-bench Pro — top-5 model trajectories (from Transluce Docent)
Agent trajectories for the 5 highest-resolved models in the SWE-bench Pro public
Docent collection 032fb63d-4992-4bfc-911d-3b7dafcb931f, pulled via the Docent SDK.
Models (by resolved rate): Claude 4.5 Sonnet (43.7%), Claude 4 Sonnet (42.7%),
Claude 4.5 Haiku (39.5%), GPT-5 (36.4%), GLM-4.5 (35.5%). 3,479 trajectories.
One JSONL row per run: trajectory_id, task_id (instance_id), model, reward (resolved 1/0)… See the full description on the dataset page: https://huggingface.co/datasets/tarsur385/swebench-pro-top5-trajectories.binance-swing-top50
Binance Top 50 Backtesting Dataset
Built at: 2026-06-01T22:11:05.621245+00:00
Parameters
Lookback: 30 days
Top N: 50
Trade Types: spot, um, cm
Data Types: klines, aggTrades, fundingRate
Build Status
SPOT: 50 symbols
aggTrades: 47/50 healthy
fundingRate: 49/50 healthy
klines: 49/50 healthy
UM: 50 symbols
aggTrades: 48/50 healthy
fundingRate: 47/50 healthy
klines: 49/50 healthy
CM: 0 symbols
mix-math-20k-removed-top5000-by-mp-1e-4-for-MATH-Correct-2k
Dataset Card for "mix-math-20k-removed-top5000-by-mp-1e-4-for-MATH-Correct-2k"
More Information needed
NuminaMath-CoT-smp20k-removed-top500-by-mp-3e-4
Dataset Card for "NuminaMath-CoT-smp20k-removed-top500-by-mp-3e-4"
More Information needed
enhanced_reranking_hyde_text-embedding-3-small_queries_with_top5_chunksNuminaMath-CoT-smp20k-removed-top500-by-logix-Qwen2.5-7B-NuminaMath-CoT-smp20k-ep1-2e-5
Dataset Card for "NuminaMath-CoT-smp20k-removed-top500-by-logix-Qwen2.5-7B-NuminaMath-CoT-smp20k-ep1-2e-5"
More Information needed
OpenOrca-Top5percent🐋 The OpenOrca-Top5Percent Dataset! 🐋
We are excited to introduce the OpenOrca-Top5Percent dataset, a refined version of the original OpenOrca dataset. This dataset contains only those entries which utilize the top 5% most frequently used words in the OpenOrca dataset, aiming to focus on high-frequency vocabulary for various NLP tasks.
Dataset Summary
The OpenOrca-Top5Percent dataset is a curated subset of the augmented FLAN Collection data, focusing specifically on entries that… See the full description on the dataset page: https://huggingface.co/datasets/dynopii/OpenOrca-Top5percent.NuminaMath-CoT-smp20k-removed-top500-by-logix-for-MATH-Correct-2kimport numpy as np
import torch
from tqdm import tqdm
from datasets import load_dataset, DatasetDict, Dataset
import datasets
def get_top_n_docs(scores, n):
"""Return top-n document indices for a query, ignoring negative scores."""
valid_docs = np.where(scores >= 0)[0] # Filter out negative scores
sorted_indices = np.argsort(-scores[valid_docs]) # Descending order
top_n_indices = valid_docs[sorted_indices][:n] # Take top n
return set(top_n_indices)
def… See the full description on the dataset page: https://huggingface.co/datasets/pxyyy/NuminaMath-CoT-smp20k-removed-top500-by-logix-for-MATH-Correct-2k.ODQA_bm25_top5_documentsenhanced_text-embedding-3-small_queries_with_top5_chunksautoif-20k-removed-top500-by-logix-for-ifeval-correct-200
Dataset Card for "autoif-20k-removed-top500-by-logix-for-ifeval-correct-200"
More Information needed
ODQA_colbert_top5_100wordsNuminaMath-CoT-smp20k-removed-top500-by-mp-Qwen2.5-7B-NuminaMath-CoT-smp20k-ep1-2e-5
Dataset Card for "NuminaMath-CoT-smp20k-removed-top500-by-mp-Qwen2.5-7B-NuminaMath-CoT-smp20k-ep1-2e-5"
More Information needed
mix-math-20k-removed-top500-by-mp-3e-4-for-MATH-Correct-2k
Dataset Card for "mix-math-20k-removed-top500-by-mp-3e-4-for-MATH-Correct-2k"
More Information needed
trivia-top5top_5_insurance_brands_june_news_and_twitter_only
Top 5 Insurance Brands June News and Twitter Only
A brief description of the dataset and its purpose.
Dataset Summary
Provide a summary of the dataset, including its size, the type of data it contains, and any other relevant information.
Supported Tasks and Leaderboards
List the tasks that this dataset supports and any associated leaderboards.
Languages
English
Dataset Structure
Data Instances
Provide an example of a data… See the full description on the dataset page: https://huggingface.co/datasets/chwenjun225/top_5_insurance_brands_june_news_and_twitter_only.Bluemoon_Top50MB_Sorted_Fixed_ja
Bluemoon_Top50MB_Sorted_Fixed_ja
SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixedを、GENIAC-Team-Ozaki/karakuri-lm-8x7b-chat-v0.1-awqを用いて日本語に翻訳したロールプレイ学習用データセットです。
LLMの推論にはDeepInfraというサービスを使いました。
翻訳の詳細
3-shots promptingでの翻訳
mistralのtokenizerで出力が8000トークンを超えるまで翻訳
元データセットにある非常に長い対話は上記条件で途中のターンで翻訳を終了しています。
LLM特有の同じ出力が繰り返される現象に遭遇した場合、その時点で該当レコードの翻訳を終了
この結果1ターン未満となったレコード(157件)を削除… See the full description on the dataset page: https://huggingface.co/datasets/Aratako/Bluemoon_Top50MB_Sorted_Fixed_ja.NuminaMath-CoT-smp20k-removed-top500-by-random
Dataset Card for "NuminaMath-CoT-smp20k-removed-top500-by-random"
More Information needed
mix-math-20k-removed-top5000-by-mp-3e-4-for-MATH-Correct-2k
Dataset Card for "mix-math-20k-removed-top5000-by-mp-3e-4-for-MATH-Correct-2k"
More Information needed
autoif-20k-removed-top500-by-mp-3e-4-for-ifeval-correct-200
Dataset Card for "autoif-20k-removed-top500-by-mp-3e-4-for-ifeval-correct-200"
More Information needed
mix-math-20k-removed-top500-by-mp_cov-3e-4-for-MATH-Correct-2k
Dataset Card for "mix-math-20k-removed-top500-by-mp_cov-3e-4-for-MATH-Correct-2k"
More Information needed
code_search_net_python_filtered_top50k
Dataset Card for "code_search_net_python_filtered_top50k"
More Information needed
