# MLEnd Datasets
### Links: **[Homepage](https://MLEndDatasets.github.io)** | **[Documentation](https://mlend.readthedocs.io/)** | **[Github](https://github.com/MLEndDatasets)** | **[PyPi - project](https://pypi.org/project/mlend/)** | _ **Installation:** [pip install mlend](https://pypi.org/project/mlend/)
-----
-----
## Installation
**Requirement**: numpy, matplotlib, scipy.stats, spkit
### with pip
```
pip install mlend
```
### update with pip
```
pip install mlend --upgrade
```
## Download data : Spoken Numerals
```
import mlend
from mlend import download_spoken_numerals, spoken_numerals_load
datadir = download_spoken_numerals(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)
```
## Create Training and Testing Sets
```
TrainSet, TestSet, MAPs = spoken_numerals_load(datadir_main = datadir, train_test_split = 'Benchmark_B', verbose=1,encode_labels=True)
```
## Download data : London Sounds
```
import mlend
from mlend import download_london_sounds, london_sounds_load
datadir = download_london_sounds(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)
```
## Download data : Hums and Whistles
```
import mlend
from mlend import download_hums_whistles, hums_whistles_load
datadir = download_hums_whistles(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)
```
## Download data : Yummy
```
import mlend
from mlend import download_yummy, yummy_load
subset = {}
datadir = download_yummy(save_to = '../MLEnd', subset = subset,verbose=1,overwrite=False)
```
# Contacts:
* **Jesús Requena Carrión**
* Queen Mary University of London
* **Nikesh Bajaj**
* Queen Mary University of London
* n.bajaj[AT]qmul.ac.uk, n.bajaj[AT]imperial[dot]ac[dot]uk
______________________________________
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"description": "# MLEnd Datasets\n\n### Links: **[Homepage](https://MLEndDatasets.github.io)** | **[Documentation](https://mlend.readthedocs.io/)** | **[Github](https://github.com/MLEndDatasets)** | **[PyPi - project](https://pypi.org/project/mlend/)** | _ **Installation:** [pip install mlend](https://pypi.org/project/mlend/)\n-----\n\n-----\n\n## Installation\n\n**Requirement**: numpy, matplotlib, scipy.stats, spkit\n\n### with pip\n\n```\npip install mlend\n```\n\n### update with pip\n\n```\npip install mlend --upgrade\n```\n\n\n## Download data : Spoken Numerals\n\n```\nimport mlend\nfrom mlend import download_spoken_numerals, spoken_numerals_load\n\n\ndatadir = download_spoken_numerals(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)\n\n```\n\n## Create Training and Testing Sets\n\n```\nTrainSet, TestSet, MAPs = spoken_numerals_load(datadir_main = datadir, train_test_split = 'Benchmark_B', verbose=1,encode_labels=True)\n\n```\n\n## Download data : London Sounds\n\n\n```\nimport mlend\nfrom mlend import download_london_sounds, london_sounds_load\n\n\ndatadir = download_london_sounds(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)\n\n```\n\n\n## Download data : Hums and Whistles\n\n\n```\nimport mlend\nfrom mlend import download_hums_whistles, hums_whistles_load\n\n\ndatadir = download_hums_whistles(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)\n\n```\n\n\n## Download data : Yummy\n\n\n```\nimport mlend\nfrom mlend import download_yummy, yummy_load\n\nsubset = {}\n\ndatadir = download_yummy(save_to = '../MLEnd', subset = subset,verbose=1,overwrite=False)\n\n```\n\n\n\n\n# Contacts:\n* **Jes\u00fas Requena Carri\u00f3n**\n* Queen Mary University of London\n\n* **Nikesh Bajaj**\n* Queen Mary University of London\n* n.bajaj[AT]qmul.ac.uk, n.bajaj[AT]imperial[dot]ac[dot]uk\n\n______________________________________\n",
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