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Novus Examples
srt199 B

SRT — Cue Text Containing the Timestamp Arrow

Cue text that contains the --> separator, and a second cue whose text looks exactly like a timing line. A parser that finds timing lines by searching for '-->' anywhere rather than by tracking cue structure splits these into extra phantom cues. Structurally valid SubRip throughout — the file is correct and the naive parser is wrong.

Preview — first 12 linessrt
1
00:00:01,000 --> 00:00:03,000
The arrow --> appears inside this caption

2
00:00:03,500 --> 00:00:06,000
And here: 00:00:99,000 --> 00:00:99,999

3
00:00:06,500 --> 00:00:09,000
Ordinary final cue

Specifications

Cues
3
Hazard
cue text contains '-->' and a timestamp-shaped string
Correct Cues
3
Naive Parse Result
5 or more

What is a .srt file?

SRT (SubRip) is a plain-text subtitle format listing numbered cues, each with a start and end timecode and one or more lines of text. It is simple, human-readable, and extremely widely supported by players. It carries no styling metadata beyond basic inline tags.

How to use this file

Use an example SRT to test subtitle parsing, timecode handling, and converters that translate between SRT and WebVTT or other caption formats.

How to use this file for testing

“SRT — Cue Text Containing the Timestamp Arrow” is a deterministic Novus Examples fixture for Subtitle parsing, Video QA. The same captions across SubRip, WebVTT, ASS/SSA, SBV, and TTML, plus a synced LRC lyric file — for testing subtitle parsers, players, burn-in tools, and format converters against known timings.

Documented properties for this file: 3 cues. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Media fixtures are short and synthetic by design. Prefer waveform or transcript ground truth in the same group when measuring ASR, trim, upscale, or sync tools; do not assume broadcast-quality masters.

Parse the cues and check timings against the documented count; the same captions ship across subtitle formats so you can diff a converter against a known target.

Code examples

<video controls src="clip.mp4">
  <track kind="captions" srclang="en" label="English" src="arrow-in-text.srt" default>
</video>

Generated by generation/video_timedtext.py. Free for any use, no attribution required — license.