Team Ai
Datasetpublic

codelucas/ceo-quotes-verified-sample

πŸŽ™οΈ CEO Transcripts β€” Verified Executive Interviews The World's Largest Database of Verified C-Suite Transcripts 20,000+ Executives Β· 100,000+ Transcripts Β· 400,000+ Quotes Β· S&P 500 + NASDAQ + Global Leaders πŸ”₯ What's In This Sample? This is a free evaluation sample from CEOInterviews.ai featuring 9 of the most market-moving voices in finance, tech, and policy. Executive Role Why They Matter Jensen Huang CEO, NVIDIA Every AI… See the full description on the dataset page: https://huggingface.co/datasets/codelucas/ceo-quotes-verified-sample.

sourceHugging Facecc-by-nd-4.0updated 11mo agoView on Hugging Face
2likes27downloads
Dataset Card

<div align="center">

πŸŽ™οΈ CEO Transcripts β€” Verified Executive Interviews

The World's Largest Database of Verified C-Suite Transcripts

![Website](https://ceointerviews.ai) ![API](https://ceointerviews.ai/apidocs/) [![Contact](https://img.shields.io/badge/πŸ“§Contact-lucas@ceointerviews.ai-red?style=for-the-badge)](mailto:lucas@ceointerviews.ai)

20,000+ Executives Β· 100,000+ Transcripts Β· 400,000+ Quotes Β· S&P 500 + NASDAQ + Global Leaders

</div>


πŸ”₯ What's In This Sample?

This is a free evaluation sample from CEOInterviews.ai featuring 9 of the most market-moving voices in finance, tech, and policy.

ExecutiveRoleWhy They Matter
Jensen HuangCEO, NVIDIAEvery AI demand signal moves $3T in market cap
Jerome PowellChair, Federal ReserveHis words move trillionsβ€”quants build NLP models on Fed language
Elon MuskCEO, TeslaHighest search volume globally, 3-hour podcast appearances
Warren BuffettCEO, Berkshire HathawayMost famous investor alive, legendary annual meeting Q&As
Donald Trump45th & 47th PresidentMost searched political figure globally, 3-hour Rogan appearance, tariff policy signals move markets
Mark ZuckerbergCEO, MetaPodcast kingβ€”Rogan, Fridman, unscripted strategy reveals
Jamie DimonCEO, JPMorganBanking bellwether, "hurricane" recession calls move markets
Cathie WoodCEO, ARK InvestRetail trader icon, daily commentary on disruptive innovation
Ray DalioFounder, BridgewaterHedge fund legend, macro frameworks every quant knows

Sample Date Range: 3 months (August β€” Nov 2025) Full Dataset: 2007-Present (updated daily)


πŸ’‘ The Problem We Solve

Alpha lives in unguarded moments.

The media playbook for executives has fundamentally shifted:

Old PlaybookNew Reality
Scripted earnings calls3-hour Joe Rogan podcasts
PR-approved press releasesUnscripted Lex Fridman interviews
Quarterly investor daysOff-the-cuff conference Q&As

The signal is there. But it's buried in 10,000+ hours of fragmented audio.

CEOInterviews.ai transforms this chaos into structured, queryable, backtestable data.


🎯 Example: Powell vs Dimon on Recession Risk

Research Question: "What did Jerome Powell and Jamie Dimon say about recession risk in 2022?"

Using Our API:

python
import requests

API = "https://ceointerviews.ai/api"
headers = {"X-API-Key": "your_api_key"}

powell_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 15847, "keyword": "recession"}, headers=headers).json()
dimon_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 12903, "keyword": "recession"}, headers=headers).json()

for q in powell_quotes["results"][:3]:
    print(f"[Powell {q['source_created_at'][:10]}] {q['text'][:150]}...")

for q in dimon_quotes["results"][:3]:
    print(f"[Dimon {q['source_created_at'][:10]}] {q['text'][:150]}...")

Sample Output:

[Powell 2022-06-15] "We're not trying to induce a recession now, let's be clear about that. 
We're trying to achieve 2% inflation..."

[Dimon 2022-06-01] "You know, I said there's storm clouds but I'm going to change it... 
it's a hurricane. Right now, it's kind of sunny, things are doing fine..."

[Powell 2022-09-21] "We have got to get inflation behind us. I wish there were a painless 
way to do that. There isn't..."

[Dimon 2022-09-26] "This is serious stuff... it's a different environment than we've ever 
seen before... the Fed has to meet this now..."

This is the alpha. Dimon called the "hurricane" 2 weeks before Powell acknowledged pain was coming.


πŸ“Š Dataset Schema

Each row is a notable quote with full context about the executive and source video.

FieldTypeDescription
quote_textstringThe quote itself
entity_simple_namestringNormalized name (e.g., "Jensen Huang")
entity_titlestringJob title
entity_profile_pic_urlstringProfile image URL
post_video_thumbnail_urlstringVideo thumbnail URL
post_appearance_datedateWhen executive actually spoke ⭐
company_logo_urlstringCompany logo URL
entity_institutionstringCompany/organization
post_titlestringVideo/podcast title
post_source_urlstringOriginal YouTube URL
quote_is_notableboolAI-flagged as significant
quote_is_controversialboolAI-flagged as controversial
quote_is_financial_policyboolMarket/policy relevant
quote_topicslistExtracted topics (e.g., ["tariffs", "trade"])
quote_entitieslistPeople mentioned
quote_companieslistCompanies mentioned
post_descriptionstringVideo description
post_source_created_atdatetimeWhen video was published
quote_timestamp_from_txstringTimestamp in video (e.g., 00:01:48,000)
quote_created_atdatetimeWhen we extracted this quote
entity_idintExecutive ID
entity_namestringFull name
entity_is_politicianboolIs a political figure
entity_is_company_leaderboolIs a corporate executive
entity_is_top_influencerboolHigh-profile individual
company_idintCompany ID
company_tickerstringStock ticker (e.g., "NVDA")
post_idintSource video/transcript ID
post_appearance_lag_daysintDays between appearance and publish
post_thumbnail_quality_review_scorefloatAI thumbnail verification (0-1)
post_transcript_quality_review_scorefloatAI transcript verification (0-1)
post_transcript_length_charsintTranscript length in characters
post_has_transcriptboolHas full transcript available
transcript_demo_only_request_licensed_accesslistTranscript preview (first 20 lines)
quote_idintUnique quote identifier

⭐ What Makes CEOInterviews Different?

1. Appearance Date Detection

Most datasets only have publish_date. But a podcast uploaded today might contain an interview from 6 months ago.

We detect when the executive actually spoke.

python
# Example: Interview recorded in January, published in March
{
    "publish_date": "2022-03-15",      # When YouTube uploaded
    "appearance_date": "2022-01-20",   # When Buffett actually spoke ⭐
}

This is critical for backtesting. You need to know when the market could have known, not when the video appeared.

2. AI + Human Verification

Every transcript passes through:

  • β€”πŸ€– Thumbnail Analysis: Is the executive actually in the video?
  • β€”πŸ€– Transcript Verification: Is this their voice, not dubbed/AI-generated?
  • β€”πŸ€– Quality Scoring: Is the transcript complete and accurate?

No deepfakes. No dubbing. No secondhand reporting.

3. Structured Quote Extraction

We don't just give you transcriptsβ€”we extract the market-moving moments:

python
{
    "text": "We're seeing something we haven't seen in 40 years...",
    "is_notable": True,
    "is_financial_policy": True,
    "topics": ["inflation", "monetary_policy", "fed"],
    "timestamp_in_video": "00:23:45"
}

πŸ“ˆ Use Cases

Use CaseHow This Dataset Helps
Sentiment AlphaBacktest NLP signals on Fed language, CEO confidence
Event StudiesMeasure market reaction to specific statements
ESG TrackingMonitor executive commitments on climate, DEI
Competitive IntelWhat is Jensen saying about AMD? What is Zuckerberg saying about Apple?
Macro SignalsTrack Dalio's "changing world order" thesis evolution
LLM Fine-tuningTrain models on authentic executive communication
Media AnalysisHow do CEOs communicate differently on Rogan vs CNBC?

πŸ“Š Sample vs Full Dataset

MetricThis SampleFull Dataset
Executives920,000+
Transcripts~1400100,000+
Quotes~7,000400,000+
Date Range20252007-Present
UpdatesStaticDaily
API AccessβŒβœ… 1,000 req/min
Custom EntitiesβŒβœ… On request

πŸ” Get Full Access

This sample is <1% of our full dataset.

Full Dataset Includes:

  • β€”βœ… Every S&P 500 and NASDAQ CEO
  • β€”βœ… Global political leaders (Presidents, Prime Ministers, Fed chairs)
  • β€”βœ… Top AI founders (Altman, Hassabis, etc.)
  • β€”βœ… Legendary investors (Buffett, Dalio, Ackman, Fink)
  • β€”βœ… Daily updates
  • β€”βœ… RESTful API with full pagination
  • β€”βœ… CSV/JSON export for model training
  • β€”βœ… White-glove enterprise support

Pricing

TierPriceBest For
Researcher$499/moAcademic research, small teams
ProfessionalCustomHedge funds, trading desks
EnterpriseCustomFull API access, custom coverage

Contact

πŸ“§ Email: lucas@ceointerviews.ai 🌐 Website: ceointerviews.ai πŸ“š API Docs: ceointerviews.ai/api_docs


πŸ“œ License

CC-BY-NC-ND-4.0 (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0)

What This Means:

βœ… Allowed❌ Not Allowed
Download and evaluateCommercial use
Academic researchRedistribute modified versions
Personal projectsResell or sublicense
Cite in papersCreate derivative datasets

For commercial use, contact [lucas@ceointerviews.ai](mailto:lucas@ceointerviews.ai)


πŸ› οΈ Built By

<div align="center">

Lucas Ou-Yang Former Engineering Manager and Staff ML Engineer @Coinbase, @Tiktok, @Meta superintelligence labs

Building institutional-grade datasets for quantitative research.

![Website](https://ceointerviews.ai)

</div>


πŸ“£ Citation

If you use this dataset in research, please cite:

bibtex
@misc{ceointerviews2024,
  author = {Ou-Yang, Lucas},
  title = {CEOInterviews.ai: Verified Executive Transcript Dataset},
  year = {2024},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/codelucas/ceo-transcripts-verified-sample}
}

<div align="center">

⭐ Star this dataset if you find it useful!

Questions? Reach out at lucas@ceointerviews.ai

</div>