# Dataset Card for "ESCWA"
Collected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between Arabic and French. 
The 2.8 hours ESCWA includes dialectal Arabic, with a Code Mixing Index (CMI) of ~28%. 
More details about the ESCWA can be found https://arabicspeech.org/escwa/.

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
region:us
{"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 783712001.0, "num_examples": 24}], "download_size": 766073404, "dataset_size": 783712001.0}}
TAGS
#region-us 

# Dataset Card for "ESCWA"
Collected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between Arabic and French. 
The 2.8 hours ESCWA includes dialectal Arabic, with a Code Mixing Index (CMI) of ~28%. 
More details about the ESCWA can be found URL

More Information needed
# Dataset Card for "ESCWA"
Collected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between Arabic and French. 
The 2.8 hours ESCWA includes dialectal Arabic, with a Code Mixing Index (CMI) of ~28%. 
More details about the ESCWA can be found URL

More Information needed
TAGS
#region-us 
 # Dataset Card for "ESCWA"
Collected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between Arabic and French. 
The 2.8 hours ESCWA includes dialectal Arabic, with a Code Mixing Index (CMI) of ~28%. 
More details about the ESCWA can be found URL

More Information needed
passage: TAGS
#region-us 
# Dataset Card for "ESCWA"
Collected over two days of meetings of the United Nations Economic and Social Commission for West Asia (ESCWA) in 2019. The data includes intrasentential code alternation between Arabic and English. In the case of Algerian, Tunisian, and Moroccan native speakers, the switch is between Arabic and French. 
The 2.8 hours ESCWA includes dialectal Arabic, with a Code Mixing Index (CMI) of ~28%. 
More details about the ESCWA can be found URL

More Information needed