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.
instruction_filtering_askllm_seed_data_code_w_openthoughtsCode-Evol-Instruct-OSS
Code-Evol-Instruct-OSS
Summary
Code-Evol-Instruct-OSS is a dataset that was generated with Code Evol-Instruct by prompting open-souce LLMs, WizardLM-13B-v1.2 and WizardCoder-34B-Python.
The underlying process is explained in the paper code-evol-instruct. This algorithm gave birth to famous open-souce code LLMs, WizardCoder-Family.
Our approach
We did not use any closed-source LLMs.
Our seed dataset is sourced from self-instruct-starcoder.
We leverage the… See the full description on the dataset page: https://huggingface.co/datasets/CodeResearch/Code-Evol-Instruct-OSS.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 5 run(s). Each run can be found as a specific split in each configuration, the split being named… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-details.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.python-code-instructions-18k-alpaca-standardized
Dataset Card for "python-code-instructions-18k-alpaca-standardized"
More Information needed
EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT-details
Dataset Card for Evaluation run of EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT
Dataset automatically created during the evaluation run of model EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT
The dataset is composed of 38 configuration(s), 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT-details.simct-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.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT
The dataset is composed of 38 configuration(s), 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto
The dataset is composed of 38 configuration(s), 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code
The dataset is composed of 38 configuration(s), 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-details.EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math-details
Dataset Card for Evaluation run of EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
Dataset automatically created during the evaluation run of model EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
The dataset is composed of 38 configuration(s), 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math-details.EpistemeAI__Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO
The dataset is composed of 38 configuration(s), 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO-details.EpistemeAI__Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy-details
Dataset Card for Evaluation run of EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy
Dataset automatically created during the evaluation run of model EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy
The dataset is composed of 38 configuration(s), 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-details.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.code_instructions_122k_alpaca_style_standardizedcode-alpaca-eval-v0-deepseek-coder-7b-instruct-v1.5-annotationspython-code-instructions-18k-alpaca-standardized_cluster_1_std
Dataset Card for "python-code-instructions-18k-alpaca-standardized_cluster_1_std"
More Information needed
code_instructions_filtered_7k
Dataset Card for "code_instructions_filtered_7k"
Filtered version of sahil2801/code_instructions_120k based on manual, quality, and learning value filters.
code_instructions_standardized_cluster_1_std
Dataset Card for "code_instructions_standardized_cluster_1_std"
More Information needed
code_instructions_standardized_cluster_10
Dataset Card for "code_instructions_standardized_cluster_10"
More Information needed
code_instructions_standardized_cluster_19_std
Dataset Card for "code_instructions_standardized_cluster_19_std"
More Information needed
python-code-instructions-18k-alpaca-standardized_cluster_9
Dataset Card for "python-code-instructions-18k-alpaca-standardized_cluster_9"
More Information needed
code_instructions_standardized
Dataset Card for "code_instructions_standardized"
More Information needed
python-code-instructions-18k-alpaca-standardized_cluster_4
Dataset Card for "python-code-instructions-18k-alpaca-standardized_cluster_4"
More Information needed
python-code-instructions-85k-mypo-qaqc
joshuasundance/python-code-instructions-85k-mypo QA/QC artifact
This dataset repo is a QA/QC derivative generated by myponline.
What is included
Root-level train.parquet / validation.parquet / test.parquet with full QA/QC annotations.
filtered_basic/ with rows that pass structural QA/QC checks.
filtered_strict/ with rows whose chosen side passes structural QA/QC plus standalone ruff and mypy --strict.
summary.json with aggregate counts and provenance.… See the full description on the dataset page: https://huggingface.co/datasets/joshuasundance/python-code-instructions-85k-mypo-qaqc.code_instructions_standardized_cluster_2
Dataset Card for "code_instructions_standardized_cluster_2"
More Information needed