Datasets:
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Download README.md from khursani8/threads_trainmy: direct link, hf CLI and curl.
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https://huggingface.co/datasets/khursani8/threads_trainmy/resolve/main/README.md
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hf download hf://datasets/khursani8/threads_trainmy/README.md
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curl -L -o README.md https://huggingface.co/datasets/khursani8/threads_trainmy/resolve/main/README.md
1.13 kB
metadata
language:
- ms
- en
task_categories:
- text-classification
tags:
- transit
- malaysia
- klang-valley
- threads
size_categories:
- 1K<n<10K
pretty_name: KL Transit Threads Posts
threads_trainmy — KL transit chatter from Threads
Every public Threads post the semak transit pipeline captured and kept, refreshed weekly as capture continues.
Collected by an agent pipeline: a paired browser reads Threads keyword searches, rail tag feeds, and a home timeline for Klang Valley rail disruption chatter; a text classifier and an image-vision gate keep transit-relevant posts. All review states are included (passed, rejected, still pending). Handles are public authors of public posts.
Columns
- captured_at: ISO timestamp the pipeline captured the post (UTC)
- reported_at: post time as shown on Threads
- handle: public Threads author
- line: rail line tagged by the classifier
- station: station if mentioned
- keyword: capture source query
- text: post text
- url: permalink
- key: pipeline dedupe key
- review: gate verdict (pass / reject / empty for pending)
- bridged: 1 if promoted to the incident board