presentofai/ai-timeline

AI Timeline Dataset

An open, dated, source-linked record of what artificial intelligence actually did between July 2025 and today. Every row is a single real-world event with a primary source attached.

2,658 events · 632 distinct publishers · 2025-07-01 onward

Maintained by Present of AI, a daily AI news site.

Why this exists

Most AI datasets are benchmarks or model outputs. This one is a record of events: deployments, funding, regulation, incidents, launches, and failures, each dated and each carrying the URL of the source it came from.

It is built for answering questions like when did this actually start, who moved first, or how much of this quarter was robotics versus data centres, without re-reading a year of headlines.

Usage

from datasets import load_dataset

ds = load_dataset("presentofai/ai-timeline", split="train")
print(ds[0])

# Monthly volume by realm
import pandas as pd
df = ds.to_pandas()
df["event_date"] = pd.to_datetime(df["event_date"])
print(df.groupby([df.event_date.dt.to_period("M"), "realm"]).size().unstack(fill_value=0))

Schema

Column	Type	Description
id	int	Stable identifier; also the permalink slug
event_date	date	The day the event happened, not the day it was reported
realm	enum	virtual (software, models, chips), terrestrial (robotics, physical deployment, energy), space
title	string	One-line description of the event
summary	string	Short factual summary
actor	string	Primary organisation or person involved
ticker	string	Stock ticker where the actor is listed, else empty
materiality	float	0-1 significance estimate; higher means more consequential
source_url	string	The primary source the event was extracted from
source_title	string	Title of that source document
publisher	string	Publisher of the source
permalink	string	The event's page on presentofai.com

Realm distribution

Realm	Events
terrestrial	1,555
virtual	956
space	147

How the data is produced

Events are extracted from primary sources (company announcements, regulatory filings, research publications, and reporting), then dated to the day the event occurred. materiality is a model-assigned estimate of significance, useful for ranking but not a ground truth; treat it as a sort key, not a measurement.

Limitations

Read these before using the data in analysis.

• Coverage is not complete. This is a curated timeline, not a census of all AI events. Recall is strongest for major English-language announcements and weakest for non-English sources and smaller regional deployments.
• materiality is model-assigned, not human-rated or externally validated.
• event_date is the event date, not the publication date. These differ, sometimes by weeks, when an event surfaces through a later filing.
• Source links may rot. They were valid when recorded.
• Summaries are model-written from the linked source. For anything load-bearing, read the source_url.

Licence

CC BY 4.0. Use freely, including commercially, with attribution to Present of AI.

Linked sources remain the property of their respective publishers; the source_url column points to them and no source text is redistributed here beyond short factual summaries.

Citation

@misc{presentofai_ai_timeline,
  title  = {AI Timeline Dataset},
  author = {{Present of AI}},
  year   = {2026},
  url    = {https://huggingface.co/datasets/presentofai/ai-timeline},
  note   = {CC BY 4.0}
}

Related

• presentofai.com - the daily timeline this is drawn from
• GitHub mirror
• The Sunny Nights - nightly AI news show