Verified claim · AI-ML · 100% confidence
C4 (Colossal Clean Crawled Corpus) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 0d24c97977ebd744
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Structured fields
- Subject
- C4 (Colossal Clean Crawled Corpus)
- Predicate
introduced_in_paper- Object
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019)
- Confidence
- 100%
- Tags
- c4 · dataset · pretraining · google · 2019
Sources (2)
[1] preprint · arXiv (Raffel et al.) · 2019-10-23
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer“We call the resulting dataset the 'Colossal Clean Crawled Corpus' (or C4 for short).”
[2] docs · Google / TensorFlow
c4 — TensorFlow Datasets catalog
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C4 (Colossal Clean Crawled Corpus) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019). — SourceScore Claim 0d24c97977ebd744 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/0d24c97977ebd744.jsonEmbed this claim
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const r = await fetch("https://sourcescore.org/api/v1/claims/0d24c97977ebd744.json");
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// "C4 (Colossal Clean Crawled Corpus) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/0d24c97977ebd744.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "C4 (Colossal Clean Crawled Corpus) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_c4_colossal_clean_crawled_corpus_fact() -> dict:
"""Fetch the verified SourceScore claim for C4 (Colossal Clean Crawled Corpus)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/0d24c97977ebd744.json")
return r.json()