CoolFace
30 shown

datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
sortTrendingMost likedMost usedRecently updatedNewest
Clear all
01mlfoundations-dev /math_stratos_scale_judged_and_annotated_with_difficultytabular100K<n<1M0 likes242 downloads2y agoHugging Face02vibhuiitj /Exercise-Synthetic-split-ncert-chapter-mapped_filtered_difficulty_scoredtabular1M<n<10M0 likes169 downloads5mo agoHugging Face03CoffeeGitta /difficulty-E2H-AMC-generations Generations Dataset: E2H-AMC LLM-generated solutions across train/validation/test splits for multiple models. Columns Column Type Description problem str Problem statement generated_solutions list Generated solutions with scores success_rate float Fraction of correct generations majority_vote_is_correct int (0/1) Whether majority vote is correct k int Number of samples generated temperature float Sampling temperature max_len int Maximum… See the full description on the dataset page: https://huggingface.co/datasets/CoffeeGitta/difficulty-E2H-AMC-generations.tabular10K<n<100K0 likes103 downloads4mo agoHugging Face04ronantakizawa /aozora-text-difficulty Aozora Text Difficulty Dataset This dataset contains Japanese literary texts from the Aozora Bunko digital library, enhanced with jReadability-based difficulty analysis for Japanese language learning and curriculum development. Dataset Overview Source: Aozora Bunko (青空文庫) - Japan's premier digital library of public domain literature Enhancement: jReadability-based difficulty scoring using research-backed Japanese readability models Primary Methodology: jReadability - A… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/aozora-text-difficulty.tabulartext-classification1K<n<10K1 likes97 downloads10mo agoHugging Face05taesiri /BlindLoop-Difficulty-Feedbackgated BlindLoop Difficulty Feedback This is the public, hash-bound release of BlindLoop Section 3. Coding agents generated executable visual-question tasks; each task's inverse program checked the answer from rendered pixels. For complete feedback transactions, the exact same five images were evaluated by three frontier VLMs and the resulting difficulty signal was returned to the next generation episode. Contents Config Unit Rows tasks generated task 266… See the full description on the dataset page: https://huggingface.co/datasets/taesiri/BlindLoop-Difficulty-Feedback.imagevisual-question-answering10K<n<100K0 likes93 downloads23d agoHugging Face06mlfoundations-dev /seed_math_exploit_difficulty_annotationtabular100K<n<1M0 likes88 downloads2y agoHugging Face07CoffeeGitta /difficulty-gsm8k-generations Generations Dataset: gsm8k LLM-generated solutions across train/validation/test splits for multiple models. Columns Column Type Description problem str Problem statement generated_solutions list Generated solutions with scores success_rate float Fraction of correct generations majority_vote_is_correct int (0/1) Whether majority vote is correct k int Number of samples generated temperature float Sampling temperature max_len int Maximum… See the full description on the dataset page: https://huggingface.co/datasets/CoffeeGitta/difficulty-gsm8k-generations.tabular10K<n<100K0 likes77 downloads4mo agoHugging Face08CoffeeGitta /difficulty-aime_2025-generations Generations Dataset: aime_2025 Paper: LLMs Encode Their Failures: Predicting Success from Pre-Generation ActivationsCode: GitHub LLM-generated solutions across train/validation/test splits for multiple models. Columns Column Type Description problem str Problem statement generated_solutions list Generated solutions with scores success_rate float Fraction of correct generations majority_vote_is_correct int (0/1) Whether majority vote is correct k… See the full description on the dataset page: https://huggingface.co/datasets/CoffeeGitta/difficulty-aime_2025-generations.tabulartext-generationn<1K0 likes70 downloads1mo agoHugging Face09LLParallax /difficulty-eval-64tabularn<1K0 likes66 downloads2mo agoHugging Face10CoffeeGitta /difficulty-MATH-generations Generations Dataset: MATH LLM-generated solutions across train/validation/test splits for multiple models. Columns Column Type Description problem str Problem statement generated_solutions list Generated solutions with scores success_rate float Fraction of correct generations majority_vote_is_correct int (0/1) Whether majority vote is correct k int Number of samples generated temperature float Sampling temperature max_len int Maximum… See the full description on the dataset page: https://huggingface.co/datasets/CoffeeGitta/difficulty-MATH-generations.tabular10K<n<100K0 likes65 downloads4mo agoHugging Face11mlfoundations-dev /difficulty_filtering_seed_mathtabular10K<n<100K0 likes62 downloads2y agoHugging Face12zhenghaoxu /R2E-Gym-Lite-with-Difficultytabular1K<n<10K5 likes62 downloads1y agoHugging Face13Seungjun /Korean-DeepMath-with-Difficulty Korean DeepMath with Difficulty This dataset enriches ChuGyouk/Korean-DeepMath with difficulty and topic metadata from zwhe99/DeepMath-103K. Join procedure Rows are matched using Korean-DeepMath[extra_info][index] -> original DeepMath row index. Added fields original_index difficulty topic Intended use Prepared for controlled Korean mathematical reasoning SFT experiments, including difficulty-aware sampling such as TDCS. No Easy /… See the full description on the dataset page: https://huggingface.co/datasets/Seungjun/Korean-DeepMath-with-Difficulty.tabulartext-generation100K<n<1M0 likes51 downloads1mo agoHugging Face14argo11 /japanese-math-empirical-difficulty-pilot-50k Japanese Math Empirical Difficulty Pilot 50k This dataset is a 50,000-problem empirical difficulty pilot, not a full empirical labeling of the original 5.66M-row source dataset. It was created for LLM-jp experiment 0399, Team Victory SFT, to validate empirical difficulty label distribution, downstream split behavior, and the rollout/scoring pipeline before attempting labeling at the full 5.6M scale. Current Status This upload uses the v3 scorer with assistant-only… See the full description on the dataset page: https://huggingface.co/datasets/argo11/japanese-math-empirical-difficulty-pilot-50k.tabulartext-generation100K<n<1M0 likes42 downloads3mo agoHugging Face15oscarfco /R2E-Gym-Lite-Difficulty-Clean-Onlytabular1K<n<10K0 likes40 downloads5mo agoHugging Face16ronantakizawa /japanese-text-difficulty Aozora Text Difficulty Dataset This dataset contains Japanese literary texts from the Aozora Bunko digital library, enhanced with jReadability-based difficulty analysis for Japanese language learning and curriculum development. Dataset Overview Source: Aozora Bunko (青空文庫) - Japan's premier digital library of public domain literature Enhancement: jReadability-based difficulty scoring using research-backed Japanese readability models Primary Methodology: jReadability - A… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/japanese-text-difficulty.tabulartext-classification1K<n<10K5 likes38 downloads10mo agoHugging Face17drproduck /numinamath_verifiable_cleaned_wo_geo_mc_difficultytabular100K<n<1M0 likes37 downloads2y agoHugging Face18mlfoundations-dev /difficulty_sorting_easy_seed_math_w_openthoughtstabular100K<n<1M0 likes32 downloads2y agoHugging Face19JIAN-PENG /Countdown-Tasks-Difficulty-Linear-Ratio-1.2ktabular10K<n<100K0 likes28 downloads1y agoHugging Face20ronantakizawa /japanese-text-difficulty-2leveltabular1K<n<10K1 likes27 downloads1y agoHugging Face21asingh15 /tool-use-adaptation-difficulty Tool-Use Adaptation — Task Difficulty (gemini & Qwen) Empirical difficulty annotations for tool-use / agentic tasks, part of an "adapting to a new tool" RL domain. Difficulty is gauged by running two strong solvers N=32 times per task and scoring each rollout against the task's local programmatic gold (execution / state-check / exact-args), then aggregating. Solvers gemini-3-5-flash-fair (gemini_* columns) Qwen3.6-35B-A3B (qwen_* columns) Difficulty… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/tool-use-adaptation-difficulty.tabularreinforcement-learning1K<n<10K0 likes26 downloads2mo agoHugging Face22tongyx361 /MathInstruct-Core-DifficultyAware Dataset Card for "MathInstruct-Core-DifficultyAware" More Information needed tabular100K<n<1M1 likes24 downloads3y agoHugging Face23Blancy /secondfiltered-math220k-difficulty_stratified_10k_filtered_only_medium_difficulty Dataset Details This dataset origins from Blancy/secondfiltered-math220k-difficulty_stratified_10k, the orginal index means the index inBlancy/secondfiltered-math220k-difficulty_stratified_10k. tabular1K<n<10K0 likes24 downloads1y agoHugging Face24Blancy /secondfiltered-math220k-difficulty_stratified_10k_tokenknowntabular10K<n<100K0 likes23 downloads1y agoHugging Face25mlfoundations-dev /difficulty_sorting_high_seed_math_w_openthoughtstabular100K<n<1M0 likes22 downloads2y agoHugging Face26JIAN-PENG /Countdown-Tasks-Difficulty-1.2ktabular10K<n<100K0 likes22 downloads1y agoHugging Face27CoffeeGitta /difficulty-aime_1983-2024-generations Generations Dataset: aime_1983-2024 LLM-generated solutions across train/validation/test splits for multiple models. Columns Column Type Description problem str Problem statement generated_solutions list Generated solutions with scores success_rate float Fraction of correct generations majority_vote_is_correct int (0/1) Whether majority vote is correct k int Number of samples generated temperature float Sampling temperature max_len int… See the full description on the dataset page: https://huggingface.co/datasets/CoffeeGitta/difficulty-aime_1983-2024-generations.tabular1K<n<10K0 likes22 downloads4mo agoHugging Face28pe-nlp /DeepMath-0.5K-filteredv2-difficultytabularn<1K0 likes20 downloads1y agoHugging Face29white-bird /difficulty_tagtabular10K<n<100K0 likes19 downloads2y agoHugging Face30zhenzhe /auto-problems-20250318-remain_difficultytabular10K<n<100K0 likes19 downloads2y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.