Verified claim · AI-ML · 95% confidence
RedPajama dataset released on: 2023-04-17.
Last verified 2026-05-16 · Methodology veritas-v0.1 · ea8b7be3a49101be
SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.
Structured fields
- Subject
- RedPajama dataset
- Predicate
released_on- Object
- 2023-04-17
- Confidence
- 95%
- Tags
- redpajama · dataset · pretraining · together · 2023 · open-source
Sources (2)
[1] official blog · Together AI · 2023-04-17
RedPajama: An Open Source Recipe to Reproduce LLaMA training dataset“Today, we release RedPajama, a project to create leading open-source models, starts by reproducing LLaMA training dataset of over 1.2 trillion tokens.”
[2] github release · Together · 2023-04-17
togethercomputer/RedPajama-Data — GitHub
Cite this claim
Ready-to-paste citation (Markdown / plain text):
RedPajama dataset released on: 2023-04-17. — SourceScore Claim ea8b7be3a49101be (verified 2026-05-16). https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.jsonEmbed this claim
Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the signed claim + primary source + click-through to this canonical page. CC-BY 4.0; attribution included.
<iframe src="https://sourcescore.org/embed/claim/ea8b7be3a49101be/" width="100%" height="360" frameborder="0" loading="lazy" title="RedPajama dataset released on: 2023-04-17."></iframe>Preview: open in new tab
Related claims
Other verified claims sharing tags with this one — useful for LLM retrieval graphs and citation discovery.
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).
0d24c97977ebd744 · 100% confidence · shares 2 tags (dataset, pretraining)
The Pile dataset released on: 2020-12-31.
4aef1422b96df26c · 100% confidence · shares 2 tags (dataset, pretraining)
vLLM introduced in: Kwon et al. 2023 — high-throughput LLM serving via PagedAttention.
468a9e2c047d8f2f · 100% confidence · shares 2 tags (open-source, 2023)
llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov.
2c6ddc094019890c · 100% confidence · shares 2 tags (open-source, 2023)
Ollama publicly released on: 2023-07-18 — local LLM runtime.
ad04a4489786ac11 · 100% confidence · shares 2 tags (open-source, 2023)
Frequently asked questions
Is the claim "RedPajama dataset released on: 2023-04-17." verified?
Yes — SourceScore verified this claim with 95% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "RedPajama dataset released on: 2023-04-17."?
Evidence comes from 2 primary sources: Together AI, Together. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "RedPajama dataset released on: 2023-04-17."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "RedPajama dataset released on: 2023-04-17."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_redpajama_dataset_fact() -> dict:
"""Fetch the verified SourceScore claim for RedPajama dataset."""
r = httpx.get("https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.json")
return r.json()