sanjeevafk/great-speeches-corpus

🎙️ Great Speeches Corpus: Definitive Historical Archives Benchmark (1893–2015)

Speaker Breakdown & Catalogue Index

Namespace	Historical Figure	Time Span	Speeches	Word Count	Character Count	Primary Domain
nehru	Pandit Jawaharlal Nehru	1929–1964	5,000	1,315,811	8,636,056	Nation Building, Democracy, NAM
mandela	Nelson Mandela	1951–2013	1,000	1,141,540	7,083,904	Anti-Apartheid, Reconciliation, Human Rights
kalam	Dr. A. P. J. Abdul Kalam	1989–2015	912	1,822,794	11,374,971	Vision 2020, Science, Youth Inspiration
ambedkar	Dr. B. R. Ambedkar	1916–1956	537	74,465	558,227	Constitution of India, Social Justice, Law
vivekananda	Swami Vivekananda	1893–1902	500	123,276	807,740	Four Yogas, Parliament of Religions, Vedanta
einstein	Albert Einstein	1909–1955	260	64,815	425,995	Relativity, Nobel Lecture, Nuclear Disarmament
bose	Netaji Subhas Chandra Bose	1921–1945	215	51,032	353,909	Azad Hind, INA, Freedom Struggle
feynman	Richard P. Feynman	1955–1988	162	845,526	5,300,276	Quantum Electrodynamics, Caltech Lectures
steve_jobs	Steve Jobs	1976–2011	101	17,968	121,119	Apple Keynotes, Technology, Design
all	Complete Unified Benchmark	1893–2015	8,687	5,457,227	34,662,197	Multidisciplinary Master Corpus

Usage Examples

1. Load Complete Multi-Speaker Corpus

from datasets import load_dataset

# Stream the entire 8,687-speech historical benchmark
dataset = load_dataset("sanjeevafk/great-speeches-corpus", "all", split="train")
print(f"Total speeches loaded: {len(dataset)}")

2. Load Specific Historical Speaker Namespaces

from datasets import load_dataset

# Load Jawaharlal Nehru (5,000 speeches)
nehru_corpus = load_dataset("sanjeevafk/great-speeches-corpus", "nehru", split="train")

# Load Swami Vivekananda (500 discourses)
vivek_corpus = load_dataset("sanjeevafk/great-speeches-corpus", "vivekananda", split="train")

# Load Albert Einstein (260 scientific lectures)
einstein_corpus = load_dataset("sanjeevafk/great-speeches-corpus", "einstein", split="train")

Schema

• speech_id (string): Canonical identifier (SPEECH-ENTITY-YYYY-NNN)
• canonical_event_id (string): Unique event identifier
• title (string): Title of speech, address, keynote, or lecture
• date (string): Event date (DD.MM.YYYY)
• year (int): Year of presentation
• location (string): City, Country/State
• venue (string): Hall, parliament, university, stadium, or convention center
• period (string): Era classification tag
• event_type (string): presidential_address, keynote, lecture, parliamentary_speech, historic_oration
• speaker (string): Name of the historical speaker
• tldr (string): Multi-sentence summary of core themes and historic significance
• transcript (string): Full verbatim text in markdown format
• source_url (string): Authoritative archive URL
• rights_status (string): Transcript rights status
• sha256 (string): Bit-level SHA-256 integrity hash
• tags (list[string]): Semantic domain and topical tags