Datasets:
wjbmattingly
commited on
Commit
•
d1e3666
1
Parent(s):
1e6aac3
Added more detail to README
Browse files
README.md
CHANGED
@@ -12,22 +12,12 @@ tags:
|
|
12 |
- oral testimony
|
13 |
---
|
14 |
|
15 |
-
|
16 |
-
language:
|
17 |
-
- en
|
18 |
-
tags:
|
19 |
-
- history
|
20 |
-
- human rights
|
21 |
-
license: mit
|
22 |
-
pretty_name: TRC Testimonies Dataset
|
23 |
-
size_categories:
|
24 |
-
- 10K<n<100K
|
25 |
-
---
|
26 |
# Dataset Card for the Truth and Reconciliation Commission Testimonies Dataset
|
27 |
|
28 |
## Dataset Summary
|
29 |
|
30 |
-
This dataset contains the transcriptions of testimonies from the Truth and Reconciliation Commission (TRC) hearings in South Africa. It includes a wide range of testimonies from different types of hearings such as Amnesty Hearings, Human Rights Violation Hearings, and Special Hearings.
|
31 |
|
32 |
## Languages
|
33 |
|
@@ -121,11 +111,18 @@ An example from the dataset is as follows:
|
|
121 |
|
122 |
## Curation Rationale
|
123 |
|
124 |
-
This dataset is curated to provide researchers, historians, and the public with access to the testimonies recorded during the Truth and Reconciliation Commission hearings. These testimonies are crucial for understanding the extent of human rights violations and the process of reconciliation in South Africa post-apartheid.
|
125 |
|
126 |
## Initial Data Collection and Normalization
|
127 |
|
128 |
-
The testimonies were initially collected during various TRC hearings across South Africa. The data was then digitized, with care taken to accurately transcribe the spoken words and to preserve the integrity of the original testimonies.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
129 |
|
130 |
## Who are the source language producers?
|
131 |
|
@@ -157,11 +154,19 @@ There may be inherent biases in the dataset due to the nature of the TRC hearing
|
|
157 |
|
158 |
## Other Known Limitations
|
159 |
|
160 |
-
The dataset is based on transcriptions and may contain transcription errors.
|
161 |
|
162 |
## Dataset Curators
|
163 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
164 |
|
|
|
165 |
|
166 |
## Licensing Information
|
167 |
|
|
|
12 |
- oral testimony
|
13 |
---
|
14 |
|
15 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
# Dataset Card for the Truth and Reconciliation Commission Testimonies Dataset
|
17 |
|
18 |
## Dataset Summary
|
19 |
|
20 |
+
This dataset contains the transcriptions of testimonies from the Truth and Reconciliation Commission (TRC) hearings in South Africa. It includes a wide range of testimonies from different types of hearings such as Amnesty Hearings, Human Rights Violation Hearings, and Special Hearings. We obtained these testimonies from the [South African Historical Archive](https://sabctrc.saha.org.za/).
|
21 |
|
22 |
## Languages
|
23 |
|
|
|
111 |
|
112 |
## Curation Rationale
|
113 |
|
114 |
+
This dataset is curated to provide researchers, historians, and the public with access to the testimonies recorded during the Truth and Reconciliation Commission hearings en masse. These testimonies are crucial for understanding the extent of human rights violations and the process of reconciliation in South Africa post-apartheid.
|
115 |
|
116 |
## Initial Data Collection and Normalization
|
117 |
|
118 |
+
The testimonies were initially collected during various TRC hearings across South Africa. The data was then digitized, with care taken to accurately transcribe the spoken words and to preserve the integrity of the original testimonies. It was put online by the [South African Historical Archive](https://sabctrc.saha.org.za/documents.htm) (SAHA).
|
119 |
+
|
120 |
+
While the data on the SAHA website is accessible to all and while the HTML data some structure to it, much of the metadata is not consistently structured across all testimonies. Further, some of the data is not encoded in UTF-8. Finally, important aspects of the dialogue within testimonies is not preserved. For example, there is currently no way to separate the speaker from their corresponding dialogue.
|
121 |
+
|
122 |
+
For this dataset, we created custom Python scripts to process each testimony from the original HTML files on the SAHA website. For each section of dialogue in a transcript, users have access to the original SAHA webpage.
|
123 |
+
|
124 |
+
For this project, we also embedded each segment of testimony, processed those embeddings with [UMAP](https://github.com/lmcinnes/umap) and identified clusters with [HDBScan]().
|
125 |
+
|
126 |
|
127 |
## Who are the source language producers?
|
128 |
|
|
|
154 |
|
155 |
## Other Known Limitations
|
156 |
|
157 |
+
The dataset is based on transcriptions and may contain transcription errors. As the data was processed via Python scripts, there may be some inconsistencies in the separation of speaker and dialogue.
|
158 |
|
159 |
## Dataset Curators
|
160 |
|
161 |
+
Steve Davis, Associate Professor of History, University of Kentucky
|
162 |
+
|
163 |
+
William J.B. Mattingly, Postdoc Fellow, Smithsonian Institution
|
164 |
+
|
165 |
+
Jennifer Hootman, Coordinator of Digital Scholarship, William T. Young Library, University of Kentucky
|
166 |
+
|
167 |
+
Robert Vaughan, Research Assistant, University of Kentucky
|
168 |
|
169 |
+
Jamari Turner, Graduate Assistant, University of Kentucky
|
170 |
|
171 |
## Licensing Information
|
172 |
|