300 Key African American Literary Texts.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset is comprised of 300 African American novels, essays, poems, autobiographies, slave narratives, and short stories. Inspired by Metacaon.org, a project that weights texts based primarily on the number of citations that works have received in scholarly journals. The dataset draws on five databases: JSTOR, Project Muse, ProQuest, Google Scholar, and the online archives for The New York Times archives to determine the scholarly significance of Black authored texts primarily by the number of times they are cited in scholarly contexts' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["African American Literature"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset is comprised of 300 African American novels, essays, poems, autobiographies, slave narratives, and short stories. Inspired by Metacaon.org, a project that weights texts based primarily on the number of citations that works have received in scholarly journals. The dataset draws on five databases: JSTOR, Project Muse, ProQuest, Google Scholar, and the online archives for The New York Times archives to determine the scholarly significance of Black authored texts primarily by the number of times they are cited in scholarly contexts' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset is comprised of 300 African American novels, essays, poems, autobiographies, slave narratives, and short stories. Inspired by Metacaon.org, a project that weights texts based primarily on the number of citations that works have received in scholarly journals. The dataset draws on five databases: JSTOR, Project Muse, ProQuest, Google Scholar, and the online archives for The New York Times archives to determine the scholarly significance of Black authored texts primarily by the number of times they are cited in scholarly contexts
African American Literature