task_categories:token-classification task_categories:text-classification task_categories:table-question-answering task_categories:question-answering task_categories:zero-shot-classification task_categories:translation task_categories:summarization task_categories:conversational task_categories:feature-extraction task_categories:text-generation task_categories:text2text-generation task_categories:sentence-similarity task_categories:audio-classification task_categories:fill-mask task_categories:text-to-speech task_categories:automatic-speech-recognition task_categories:voice-activity-detection task_categories:depth-estimation task_categories:audio-to-audio task_categories:image-classification task_categories:image-segmentation task_categories:object-detection task_categories:text-to-image task_categories:image-to-text task_categories:image-to-image task_categories:unconditional-image-generation task_categories:reinforcement-learning task_categories:robotics task_categories:tabular-classification task_categories:video-classification task_categories:tabular-to-text task_categories:tabular-regression task_categories:multiple-choice task_categories:table-to-text task_categories:text-retrieval task_categories:time-series-forecasting task_categories:text-to-video task_categories:visual-question-answering task_categories:zero-shot-image-classification task_categories:graph-ml size_categories:n>1T language:en license:other finance quantum Banking #U XBRL TAXONOMY  doi:10.57967/hf/1074 region:us
---
license: other
task_categories:
- token-classification
- text-classification
- table-question-answering
- question-answering
- zero-shot-classification
- translation
- summarization
- conversational
- feature-extraction
- text-generation
- text2text-generation
- sentence-similarity
- audio-classification
- fill-mask
- text-to-speech
- automatic-speech-recognition
- voice-activity-detection
- depth-estimation
- audio-to-audio
- image-classification
- image-segmentation
- object-detection
- text-to-image
- image-to-text
- image-to-image
- unconditional-image-generation
- reinforcement-learning
- robotics
- tabular-classification
- video-classification
- tabular-to-text
- tabular-regression
- multiple-choice
- table-to-text
- text-retrieval
- time-series-forecasting
- text-to-video
- visual-question-answering
- zero-shot-image-classification
- graph-ml
language:
- en
tags:
- finance
- quantum Banking
- '#U'
- XBRL
- 'TAXONOMY '
pretty_name: 'The Private Bank Taxonomy '
size_categories:
- n>1T
---

## API Calls

If you wish to programmatically fetch the Autonomous Private Banking Taxonomy dataset, you can do so via the following curl commands:

```bash
# Fetch rows of the dataset
curl -X GET "https://datasets-server.huggingface.co/rows?dataset=Admin08077%2FTaxonomy&config=default&split=train&offset=0&limit=100"

# Get dataset splits
curl -X GET "https://datasets-server.huggingface.co/splits?dataset=Admin08077%2FTaxonomy"

# Download the dataset in Parquet format
curl -X GET "https://huggingface.co/api/datasets/Admin08077/Taxonomy/parquet/default/train"
```

To clone the dataset repository, make sure you have git-lfs installed. Then run:

```bash
git lfs install
git clone https://huggingface.co/datasets/Admin08077/Taxonomy
```

If you want to clone without large files, you can use:

```bash
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/Admin08077/Taxonomy
```

### Python Code to Load Dataset

If you are using Python, you can easily load the dataset using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

dataset = load_dataset("Admin08077/Taxonomy")
```

## Citation

If you use this dataset in your research or project, please cite it using the following BibTeX entry:

```bibtex
@misc{james_burvel_o'callaghan_iii_2023,
author = {James Burvel O'Callaghan III},
title = {Taxonomy (Revision 9e2a198)},
year = 2023,
url = {https://huggingface.co/datasets/Admin08077/Taxonomy},
doi = {10.57967/hf/1070},
publisher = {Hugging Face}
}
```