datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
code_contests_instruct
Dataset Card for "code_contests_instruct"
The deepmind/code_contests dataset formatted as markdown-instruct for text generation training.
There are several different configs. Look at them. Comments:
flesch_reading_ease is computed on the description col via textstat
hq means that python2 (aka PYTHON in language column) is dropped, and keeps only rows with flesch_reading_ease 75 or greater
min-cols drops all cols except language and text
possible values for language are {'CPP'… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/code_contests_instruct.code_contest_instruct_cppevol_instruct_code_filtered_39k
Dataset Card for "evol_instruct_code_filtered_38k"
Filtered version of nickrosh/Evol-Instruct-Code-80k-v1, with manual filtering, and automatic filtering based on quality and learning value classifiers.
details_Qwen__Qwen2.5-Coder-14B-Instruct
Dataset Card for Evaluation run of Qwen/Qwen2.5-Coder-14B-Instruct
Dataset automatically created during the evaluation run of model Qwen/Qwen2.5-Coder-14B-Instruct.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_Qwen__Qwen2.5-Coder-14B-Instruct.adaption-code-oss-instruct-raw
OSS-Instruct Coding Tasks
Coding problems inspired by open-source snippets, with solutions across several languages.
Rows
3,000
Domain
programming
Format
data.parquet, one row per example
Licence
mit
Built for
supervised fine-tuning (SFT) experiments on Adaption AutoScientist
Columns
Column
Description
original_prompt
The prompt (user turn) as uploaded.
original_completion
The target response as uploaded.
enhanced_prompt… See the full description on the dataset page: https://huggingface.co/datasets/rodriguescarson/adaption-code-oss-instruct-raw.a1_code_star_coder_instruct_eval_636d
mlfoundations-dev/a1_code_star_coder_instruct_eval_636d
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
Accuracy
15.0
51.0
72.2
28.2
34.2
35.9
29.0
6.9
5.3
AIME24
Average Accuracy: 15.00% ± 0.85%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
13.33%
4
30
2
13.33%
4
30
3
16.67%
5
30
4… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/a1_code_star_coder_instruct_eval_636d.Qwen2.5-Coder-1.5B-Instruct-progressive-2M-contextdetails_invalid-coder__Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp
Dataset Card for Evaluation run of invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp
Dataset automatically created during the evaluation run of model invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_invalid-coder__Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp.code-alpaca-eval-v0-deepseek-coder-7b-instruct-v1.5-annotationsdetails_Qwen__Qwen2.5-Coder-7B-Instruct
Dataset Card for Evaluation run of Qwen/Qwen2.5-Coder-7B-Instruct
Dataset automatically created during the evaluation run of model Qwen/Qwen2.5-Coder-7B-Instruct.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_Qwen__Qwen2.5-Coder-7B-Instruct.qwen25-coder-7b-instruct_sqliteQwen2.5-Coder-0.5B-Instruct-progressive-2M-contextsimct-author-code-10k-qwen25-7b-instruct
SimCT author-code baseline
Teacher Qwen2.5-7B-Instruct. 10000 raw prompts, 80000 candidates, 8705 author-selected targets. Author scripts pinned to cf0f33a0e6c967d4b74ea32b2dba12be01b73b9e.
This follows the released code, not a claim of exact paper replication or author data identity. Code responses receive format-only checks in the original verifier, not sandbox execution. Math uses the original custom checks. Selection may retain fewer than10000 prompts; no automatic… See the full description on the dataset page: https://huggingface.co/datasets/codemaivanngu/simct-author-code-10k-qwen25-7b-instruct.reward-bench-Qwen2.5-Coder-3B-Instruct-yes-nodetails_Qwen__Qwen2.5-Coder-7B-Instruct
Dataset Card for Evaluation run of Qwen/Qwen2.5-Coder-7B-Instruct
Dataset automatically created during the evaluation run of model Qwen/Qwen2.5-Coder-7B-Instruct.
The dataset is composed of 1 configuration, each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/ferdinandjasong/details_Qwen__Qwen2.5-Coder-7B-Instruct.Llama-3.2-1B-Instruct-magpie-tool-callingQwen2.5-Coder-0.5B-Instruct-security-preferenceamenokaku-code-instruct-askllm-v1
amenokaku-code-instruct-askllm-v1
データセット kunishou/amenokaku-code-instruct に対して、 Ask-LLM 手法でスコア付けしたデータセットです。
元データセットのカラムに加え askllm_score というカラムが追加されており、ここに Ask-LLM のスコアが格納されています。
Ask-LLM でスコア付けに使用した LLM は Rakuten/RakutenAI-7B-instruct で、プロンプトは以下の通りです。
###
{data}
###
Does the previous paragraph demarcated within ### and ### contain informative signal for pre-training a large-language model? An informative datapoint should be well-formatted, contain some usable knowledge of the world… See the full description on the dataset page: https://huggingface.co/datasets/geniacllm/amenokaku-code-instruct-askllm-v1.EpistemeAI__Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPOreward-bench-Qwen2.5-Coder-7B-Instruct-yes-noproofwriter___3txt___Qwen2.5_7B_Instruct___Qwen2.5_Math_7B_Instruct___Qwen2.5_Coder_7B_Instructqwen25-coder-7b-instruct_sqlite-stepsdetails_rombodawg__rombos_Replete-Coder-Instruct-8b-Merged
Dataset Card for Evaluation run of rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
Dataset automatically created during the evaluation run of model rombodawg/rombos_Replete-Coder-Instruct-8b-Merged.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_rombodawg__rombos_Replete-Coder-Instruct-8b-Merged.Evol-Instruct-Code-80k-v1-standardized
Dataset Card for "Evol-Instruct-Code-80k-v1-standardized"
More Information needed
rl_dataset_llama3_instruct_8b_20241230_human_eval_formatQwen__Qwen2.5-Coder-32B-InstructQwen3-Coder-30B-A3B-Instruct-num-turns-6-H100Qwen-Qwen3-Coder-30B-A3B-Instruct-nt3-T1-H100math500___2txt___Qwen2.5_7B_Instruct___Qwen2.5_Coder_7B_Instructeval-qwen2_5-coder-7b-instruct