Datasets:

asenion-ai
/

sampled-local-resumes

license: apache-2.0
task_categories:
  - text-generation
language:
  - en
tags:
  - synthetic
  - resumes
  - career-data
size_categories:
  - 1K<n<10K

sampled-local-resumes

This dataset contains synthetic resume data sampled from local folders (20% sample from each folder).

License

This dataset is released under the Apache License 2.0. Please see the LICENSE and NOTICE files for details.

Attribution

This dataset includes data released by Fairly AI Inc. dba Asenion under the Apache License, Version 2.0.

You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, data distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Dataset Structure

The dataset is organized under a synthetic_resumes/ parent folder with resume type/category subfolders:

synthetic_resumes/
├── mediocre_*/ folders: Mediocre quality resumes for various professions
├── synthetic_bad_*/ folders: Lower quality synthetic resumes
└── synthetic_*/ folders: Standard synthetic resumes for various professions

Example structure:

synthetic_resumes/
├── mediocre_warehouse_resumes/
│   ├── resume_001.md
│   └── resume_045.md
├── synthetic_bad_senior_software_developer_resumes/
│   ├── resume_003.md
│   └── resume_067.md
└── synthetic_teacher_resumes/
    ├── resume_012.md
    └── resume_089.md

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("your-username/sampled-local-resumes")

# Access a resume
resume = dataset['train'][0]
print(resume['text'])

Citation

If you use this dataset, please cite:

@dataset{synthetic_resumes_local,
  title={Synthetic Resume Dataset (Local Sample)},
  author={Fairly AI Inc. dba Asenion},
  year={2025},
  url={https://huggingface.co/datasets/sampled-local-resumes}
}