Dataset · MLC-0801 · [SAMPLE]

X (Twitter) posts

Name: X (Twitter) posts
Creator: MLchart
License: https://mlchart.com/terms/

1Description

Public X posts with their full context: post text, replies and thread structure, engagement counts, author metadata, hashtags, links, mentions and media, with language and sentiment labels. Brand and risk teams, hedge funds reading market and event chatter, crisis and public-safety analysts, and NLP teams building classifiers for short informal text use it for monitoring, signal research and model training.

Subsets

Posts
Replies and threads
Engagement metrics
Author metadata
Hashtags and entities
Language and sentiment labels

2Schema

Table 1. Fields
Field	Type	Description	Example
post_id	string	Numeric post identifier	1105888453252861953
url	string	Public link to the post	https://x.com/NWS/status/1105888453252861953
created_at	datetime	Posting time in UTC	2019-03-13T17:48:48Z
author_name / author_handle	string	Display name and handle of the account
author_account_type	string	Account verification type (for example Government, Business)	Government
text	string	Post text with short links expanded	A historic March blizzard is taking shape across Colorado, Wyoming...
lang	string	Detected language code	en
is_reply	boolean	Whether the post replies to another post (thread position)	False
hashtags / links	array<string>	Hashtags and expanded URLs found in the post
media	array<object>	Attached photos or videos	[{"type": "photo", "url"...
like_count / reply_count	integer	Engagement counts, with the date they were read
sentiment_label	string	Positive, neutral or negative, in the labelled subset (not part of this record)

3Sample records

Sample record 1

Table 2. Sample record 1, fields
post_id	1105888453252861953
url	https://x.com/NWS/status/1105888453252861953
created_at	2019-03-13T17:48:48Z
author_name	National Weather Service
author_handle	@NWS
author_account_type	Government
text	A historic March blizzard is taking shape across Colorado, Wyoming, Montana, Nebraska, South Dakota, and North Dakota. Between 1 and 2 feet of snow is expected in some locations with wind gusts as high as 80 MPH. DO NOT TRAVEL if you live in these areas! http://weather.gov
lang	en
is_reply	false
links	http://weather.gov
media[0].type	photo
media[0].url	https://pbs.twimg.com/media/D1jna8lWoAEOjNs.jpg
media[1].type	photo
media[1].url	https://pbs.twimg.com/media/D1jna8lWwAIIVyM.jpg
like_count	952
reply_count	79
engagement_as_of	2026-10-01

{
  "post_id": "1105888453252861953",
  "url": "https://x.com/NWS/status/1105888453252861953",
  "created_at": "2019-03-13T17:48:48Z",
  "author_name": "National Weather Service",
  "author_handle": "@NWS",
  "author_account_type": "Government",
  "text": "A historic March blizzard is taking shape across Colorado, Wyoming, Montana, Nebraska, South Dakota, and North Dakota. Between 1 and 2 feet of snow is expected in some locations with wind gusts as high as 80 MPH. DO NOT TRAVEL if you live in these areas! http://weather.gov",
  "lang": "en",
  "is_reply": false,
  "hashtags": [],
  "links": [
    "http://weather.gov"
  ],
  "media": [
    {
      "type": "photo",
      "url": "https://pbs.twimg.com/media/D1jna8lWoAEOjNs.jpg"
    },
    {
      "type": "photo",
      "url": "https://pbs.twimg.com/media/D1jna8lWwAIIVyM.jpg"
    }
  ],
  "like_count": 952,
  "reply_count": 79,
  "engagement_as_of": "2026-10-01"
}

Sample record 2

Table 3. Sample record 2, fields
post_id	1041157762510716928
url	https://x.com/NWS/status/1041157762510716928
created_at	2018-09-16T02:52:09Z
author_name	National Weather Service
author_handle	@NWS
author_account_type	Government
text	The worst flooding is yet to come for portions of the Carolinas, the southern/central Appalachians from western NC to west-central VA and far eastern WV. In addition to flash & long-term river flooding will be the threat of landslides Latest on #Florence: https://www.nhc.noaa.gov/graphics_at1.shtml?cone#contents
lang	en
is_reply	false
hashtags	#Florence
links	https://www.nhc.noaa.gov/graphics_at1.shtml?cone#contents
media[0].type	photo
media[0].url	https://pbs.twimg.com/media/DnLuuA7U8AAFcNj.jpg
media[1].type	photo
media[1].url	https://pbs.twimg.com/media/DnLuvARUwAAG5AD.jpg
like_count	244
reply_count	5
engagement_as_of	2026-10-01

{
  "post_id": "1041157762510716928",
  "url": "https://x.com/NWS/status/1041157762510716928",
  "created_at": "2018-09-16T02:52:09Z",
  "author_name": "National Weather Service",
  "author_handle": "@NWS",
  "author_account_type": "Government",
  "text": "The worst flooding is yet to come for portions of the Carolinas, the southern/central Appalachians from western NC to west-central VA and far eastern WV.\nIn addition to flash & long-term river flooding will be the threat of landslides\nLatest on #Florence: https://www.nhc.noaa.gov/graphics_at1.shtml?cone#contents",
  "lang": "en",
  "is_reply": false,
  "hashtags": [
    "#Florence"
  ],
  "links": [
    "https://www.nhc.noaa.gov/graphics_at1.shtml?cone#contents"
  ],
  "media": [
    {
      "type": "photo",
      "url": "https://pbs.twimg.com/media/DnLuuA7U8AAFcNj.jpg"
    },
    {
      "type": "photo",
      "url": "https://pbs.twimg.com/media/DnLuvARUwAAG5AD.jpg"
    }
  ],
  "like_count": 244,
  "reply_count": 5,
  "engagement_as_of": "2026-10-01"
}

4Uses

Brand, product and reputation monitoring
Event detection and alternative data for trading
Crisis and severe-weather situational awareness
Training sentiment, stance and topic classifiers on short text
Influence and engagement analysis

5Citation

@misc{mlchart_twitter_x_posts_2026,
  title     = {X (Twitter) posts},
  author    = {MLchart},
  publisher = {MLchart},
  year      = {2026},
  version   = {2026.10},
  url       = {https://mlchart.com/datasets/twitter-x-posts/}
}

MLchart. (2026). X (Twitter) posts (Version 2026.10) [Data set]. https://mlchart.com/datasets/twitter-x-posts/

6Access

The full X (Twitter) posts dataset (MLC-0801), records on request. Delivered as JSONL, CSV or Parquet under a commercial licence.

Request the full dataset