# Dataset Card for "applescript-lines-100k-non-annotated"

## Description

Dataset of 100,000 unique lines of AppleScript code scraped from GitHub and GitHub Gists. The dataset has been de-duplicated, comments have been removed (both single and multi-line), and effort has been made to merge multi-line structures such as records into one (however, expect some variability in this regard).

The dataset is constructed as an intermediate step to a fully-annotated AppleScript dataset.

Each row has fields for `text` and `source`, with text being the raw text of the line and source being the file name and extension from which the line was obtained. Full source links have been omitted for anonymity.
task_categories:text-classification size_categories:100K<n<1M license:mit code applescript region:us
{"license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8452105, "num_examples": 100000}], "download_size": 2718505, "dataset_size": 8452105}, "tags": ["code", "applescript"]}
TAGS
#task_categories-text-classification #size_categories-100K<n<1M #license-mit #code #applescript #region-us 

# Dataset Card for "applescript-lines-100k-non-annotated"

## Description

Dataset of 100,000 unique lines of AppleScript code scraped from GitHub and GitHub Gists. The dataset has been de-duplicated, comments have been removed (both single and multi-line), and effort has been made to merge multi-line structures such as records into one (however, expect some variability in this regard).

The dataset is constructed as an intermediate step to a fully-annotated AppleScript dataset.

Each row has fields for 'text' and 'source', with text being the raw text of the line and source being the file name and extension from which the line was obtained. Full source links have been omitted for anonymity.
# Dataset Card for "applescript-lines-100k-non-annotated" ## Description

Dataset of 100,000 unique lines of AppleScript code scraped from GitHub and GitHub Gists. The dataset has been de-duplicated, comments have been removed (both single and multi-line), and effort has been made to merge multi-line structures such as records into one (however, expect some variability in this regard).

The dataset is constructed as an intermediate step to a fully-annotated AppleScript dataset.

Each row has fields for 'text' and 'source', with text being the raw text of the line and source being the file name and extension from which the line was obtained. Full source links have been omitted for anonymity.
TAGS
#task_categories-text-classification #size_categories-100K<n<1M #license-mit #code #applescript #region-us 
 # Dataset Card for "applescript-lines-100k-non-annotated" ## Description

Dataset of 100,000 unique lines of AppleScript code scraped from GitHub and GitHub Gists. The dataset has been de-duplicated, comments have been removed (both single and multi-line), and effort has been made to merge multi-line structures such as records into one (however, expect some variability in this regard).

The dataset is constructed as an intermediate step to a fully-annotated AppleScript dataset.

Each row has fields for 'text' and 'source', with text being the raw text of the line and source being the file name and extension from which the line was obtained. Full source links have been omitted for anonymity.
passage: TAGS
#task_categories-text-classification #size_categories-100K<n<1M #license-mit #code #applescript #region-us 
# Dataset Card for "applescript-lines-100k-non-annotated"## Description

Dataset of 100,000 unique lines of AppleScript code scraped from GitHub and GitHub Gists. The dataset has been de-duplicated, comments have been removed (both single and multi-line), and effort has been made to merge multi-line structures such as records into one (however, expect some variability in this regard).

The dataset is constructed as an intermediate step to a fully-annotated AppleScript dataset.

Each row has fields for 'text' and 'source', with text being the raw text of the line and source being the file name and extension from which the line was obtained. Full source links have been omitted for anonymity.