FaroukMoc2/NY_tech_week_partiful_events

NYC Tech Week 2026 - Partiful Events Dataset

A dataset of 1,561 events from NYC Tech Week 2026 (June 1-11), enriched with detailed event metadata from Partiful.

Dataset Summary

Metric	Count
Total events	1,561
Enriched with Partiful data	1,375
Events with Partiful links	1,379
Invite-only events	181
Date range	June 1 - June 11, 2026
NYC neighborhoods covered	28

Data Collection

1. Tech Week API (tech-week.com/calendar/api/trpc/calendar.events): Paginated through all NYC events to collect base event metadata (name, date, time, location, host, RSVP link).
2. Partiful API (api.partiful.com/getEventInfo): For each event with a Partiful RSVP link, fetched full event details including description, capacity, RSVP counts, and venue address.

Schema

The dataset has 30 columns across two sources:

From Tech Week (available for all 1,561 events)

Column	Type	Description
techweek_id	int	Internal Tech Week event ID
name	string	Event name
date	string	Event date (YYYY-MM-DD)
time	string	Start time (HH:MM:SS, local)
city	string	Always "New York City"
neighborhood	string	NYC neighborhood (e.g. SoHo, Midtown, Chelsea)
company	string	Hosting company name
primary_host	string	Primary host label
cohosts	string	Semicolon-separated cohost names
is_invite_only	bool	Whether the event requires an invitation
sponsor_tier	string	Sponsor tier if applicable (gold, silver, etc.)
rsvp_link	string	Partiful event URL
partiful_id	string	Event ID extracted from Partiful URL

From Partiful (available for 1,375 enriched events)

Column	Type	Description
title	string	Full event title
description	string	Event description (newlines escaped as \n)
full_location	string	Full venue address
start_date_utc	string	ISO 8601 UTC start time
end_date_utc	string	ISO 8601 UTC end time
timezone	string	Timezone (e.g. America/New_York)
max_capacity	int	Maximum attendee capacity
going_count	int	Number of RSVPs marked "going"
maybe_count	int	Number of RSVPs marked "maybe"
interested_count	int	Number of RSVPs marked "interested"
waitlist_count	int	Number on waitlist
remaining_capacity	int	Spots remaining
at_capacity	bool	Whether the event is full
is_public	bool	Whether the event is publicly listed
has_questionnaire	bool	Whether RSVP requires a questionnaire
questionnaire_fields	string	Semicolon-separated question texts
image_url	string	Event cover image URL

Files

• techweek_events.jsonl - One JSON object per line
• techweek_events.csv - Standard CSV with headers

Usage

from datasets import load_dataset

ds = load_dataset("FaroukMoc2/NY_tech_week_partiful_events")

import pandas as pd

df = pd.read_csv("hf://datasets/FaroukMoc2/NY_tech_week_partiful_events/techweek_events.csv")

Example Record

{
  "techweek_id": 4518,
  "name": "Central Park Run 1",
  "date": "2026-06-01",
  "time": "07:00:00",
  "city": "New York City",
  "neighborhood": "Central Park",
  "company": "off labs",
  "primary_host": "off labs",
  "cohosts": "",
  "is_invite_only": false,
  "sponsor_tier": "",
  "rsvp_link": "https://partiful.com/e/Wgd27MHUJPFotcMBodca",
  "partiful_id": "Wgd27MHUJPFotcMBodca",
  "title": "#NYTechWeek Central Park Run 1",
  "description": "Let's get Tech Week started early and with ENERGY! ...",
  "full_location": "Upper West Side, Manhattan, New York, NY",
  "start_date_utc": "2026-06-01T11:00:00.000Z",
  "end_date_utc": "2026-06-01T11:45:00.000Z",
  "timezone": "America/New_York",
  "max_capacity": 147,
  "going_count": 0,
  "maybe_count": 0,
  "interested_count": 14,
  "waitlist_count": 0,
  "remaining_capacity": 4,
  "at_capacity": false,
  "is_public": true,
  "has_questionnaire": true,
  "questionnaire_fields": "What is your email?; What's your LinkedIn?",
  "image_url": "https://firebasestorage.googleapis.com/v0/b/getpartiful.appspot.com/..."
}

Limitations

• RSVP counts and capacity are point-in-time snapshots and will change as the event date approaches.
• ~182 invite-only events have no Partiful link and therefore no enriched metadata.
• 4 events with Partiful links could not be enriched (private or deleted events).
• Event descriptions are host-authored and vary in quality and detail.