Datasets:

msu-ceco
/

aec_v1

@@ -10,7 +10,6 @@ pretty_name: AEC1.1
 # Dataset Card for AEC
 ## Dataset Description
 The Agricultural Extension Corpus 1.1 is a compilation of 1655 official agricultural Extension documents (e.g., fact sheets, digital books) concerning water-related and sustainable agricultural practices research.
@@ -42,7 +41,7 @@ This dataset should not be used as a reference/answer to address or respond to t
 ## Dataset Structure
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-This dataset does not contain any fields. It is a corpus of paragraphs and sentences.
 [More Information Needed]
@@ -63,40 +62,25 @@ Two categories of sources:
 #### Data Collection and Processing
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-The dataset was compiled from (1) 212 scholarly full-text articles from the [Journal Of Extension](https://archives.joe.org/) and (2) 1443 materials extracted from 40 land-grant institutions that provide Extension services throughout the country.
 These materials include factsheets, e-books, and articles related to agricultural research, and they are in HTML, text, and PDF formats.
 The PDFs were processed and converted into text using [Amazon's Textract](https://aws.amazon.com/textract/ocr/).
 Furthermore, we removed non-UTF8 characters, bibliographic references, and URLs (when possible).
-[More Information Needed]
 #### Who are the source data producers?
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-[More Information Needed]
-### Annotations [optional]
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-#### Annotation process
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-[More Information Needed]
-#### Who are the annotators?
-<!-- This section describes the people or systems who created the annotations. -->
-[More Information Needed]
 #### Personal and Sensitive Information
 <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
 [More Information Needed]
@@ -123,21 +107,3 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 **APA:**
 [More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Dataset Card Authors [optional]
-[More Information Needed]
-## Dataset Card Contact
-[More Information Needed]

 # Dataset Card for AEC
 ## Dataset Description
 The Agricultural Extension Corpus 1.1 is a compilation of 1655 official agricultural Extension documents (e.g., fact sheets, digital books) concerning water-related and sustainable agricultural practices research.
 ## Dataset Structure
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+This dataset does not contain any fields. It is a corpus of paragraphs and sentences that has been split into training, validation, and test sets using an 80-18-2 ratio
 [More Information Needed]
 #### Data Collection and Processing
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+The dataset was compiled from publicly available documents: (1) 212 scholarly full-text articles from the [Journal Of Extension](https://archives.joe.org/) and (2) 1443 materials extracted from 40 land-grant institutions that provide Extension services throughout the USA.
 These materials include factsheets, e-books, and articles related to agricultural research, and they are in HTML, text, and PDF formats.
 The PDFs were processed and converted into text using [Amazon's Textract](https://aws.amazon.com/textract/ocr/).
 Furthermore, we removed non-UTF8 characters, bibliographic references, and URLs (when possible).
 #### Who are the source data producers?
+<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators, if this information is available. -->
+The original documents were authored by Extension staff (educators, faculty, specialists, etc.) from diverse land-grant institutions. The references to these authors can be found [here (TTO-DO)]().
 #### Personal and Sensitive Information
 <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+To the best of our ability, we tried removing any personal information (e.g., emails) during the automatic processing stage. However, considering that this dataset was programmatically compiled from other existing texts, there could be residues of personal information, (especially from bibliographical sections) that could have carried over into our dataset as well.
+If you are the original author of a document compiled inside AEC and found your personal details in the dataset, please refer to our list of references [here TO_DO](). If you have not been cited, please contact us to request removal.
 [More Information Needed]
 **APA:**
 [More Information Needed]