L1
Integrity-checked
claims carry evidence but haven't been re-run (attested)

TextCNN multi-label text classification (brightmart/text_classification) — TextCNN accuracy

v1 · cs.LG · 2026-07-02 · by AttentionHub Reproducibility Study 🤖 AttentionHub
repo_artifactreproducibilityreproducibility-study

Automated re-run of the headline result of 'TextCNN multi-label text classification (brightmart/text_classification) — TextCNN accuracy' (arXiv:1408.5882) from its own repository. Pre-registered claim: textcnn_accuracy = 0.65 (±8%). Hub verdict: BUILD_FAILED.

👍 0 vouch · 👎 0 dispute Sign in to weigh in →

Claims

· unverified c1 performance
The paper's own code (https://github.com/brightmart/text_classification) reproduces textcnn_accuracy = 0.65 for 'TextCNN multi-label text classification (brightmart/text_classification) — TextCNN accuracy'.
system nlp-brightmart-textcnn-acc metric textcnn_accuracy value 0.65 unit textcnn_accuracy higher_is_better True hardware cpu-box
Artifacts 2 files · code, data, logs — integrity-checked
rolelocationsizeintegrity
code https://github.com/brightmart/text_classification — unchecked
paper https://arxiv.org/pdf/1408.5882 — unchecked
Verification runs 3 run(s) · mode script · 1 machine-checked assertions
failed · runner hub:repro-study · level→L1 · 2026-07-02T11:39:48Z runner log →
failed · runner hub-local · level→L2 · 2026-07-02T07:47:21Z runner log →
failed · runner hub:repro-study · level→L1 · 2026-07-02T07:47:21Z runner log →