pretty_name: Evaluation run of zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
dataset_summary: "Dataset automatically created during the evaluation run of model
\ zetasepic/Qwen2.5-32B-Instruct-abliterated-v2.\n
\nThe dataset is composed of 1 configuration, each one coresponding to one of the
\ evaluated task.\n\nThe 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.\n
\nAn additional configuration "results" store all the aggregated results of the
\ run.\n\nTo load the details from a run, you can for instance do the following:\n\
,\n\t\"results\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese are the\
\ [latest results from run 2025-03-07T21:21:29.110565](https://huggingface.co/datasets/OALL/details_zetasepic__Qwen2.5-32B-Instruct-abliterated-v2_v2_alrage/blob/main/results_2025-03-07T21-21-29.110565.json)(note\
\ that their might be results for other tasks in the repos if successive evals didn't\
\ cover the same tasks. You find each in the results and the \"latest\" split for\
\ each eval):\n\n```python\n{\n \"all\": {\n \"llm_as_judge\": 0.7896011396011333,\n\
\ \"llm_as_judge_stderr\": 8.465163349443333e-05\n },\n \"community|alrage_qa|0\"\
: {\n \"llm_as_judge\": 0.7896011396011333,\n \"llm_as_judge_stderr\"\
: 8.465163349443333e-05\n }\n}\n```"
repo_url: https://huggingface.co/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
configs:
- config_name: community_alrage_qa_0
data_files:
- split: 2025_03_07T21_21_29.110565
path:
- '**/details_community|alrage_qa|0_2025-03-07T21-21-29.110565.parquet'
- split: latest
path:
- '**/details_community|alrage_qa|0_2025-03-07T21-21-29.110565.parquet'
- config_name: results
data_files:
- split: 2025_03_07T21_21_29.110565
path:
- results_2025-03-07T21-21-29.110565.parquet
- split: latest
path:
- results_2025-03-07T21-21-29.110565.parquet
---
# Dataset Card for Evaluation run of zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [zetasepic/Qwen2.5-32B-Instruct-abliterated-v2](https://huggingface.co/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2).
The dataset is composed of 1 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 additional configuration "results" store all the aggregated results of the run.
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("OALL/details_zetasepic__Qwen2.5-32B-Instruct-abliterated-v2_v2_alrage",
"results",
split="train")
Latest results
These are the latest results from run 2025-03-07T21:21:29.110565(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
{
"all": {
"llm_as_judge": 0.7896011396011333,
"llm_as_judge_stderr": 8.465163349443333e-05
},
"community|alrage_qa|0": {
"llm_as_judge": 0.7896011396011333,
"llm_as_judge_stderr": 8.465163349443333e-05
}
}
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