Datasets › TIE

TIE (https://github.com/raianand1991/TIE)

Introduced by Anand Kumar Rai et al. in A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos20 Jul 2023 archive 2025-07-28

Click to add a brief description of the dataset (Markdown and LaTeX enabled). The TIE(Technical Indian English) dataset is a massive speech dataset of ~750 GB, consisting of ~9.8K technical lectures in English, along with their transcripts. The lectures were delivered by instructors from all over India and were sourced from the NPTEL website

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • TIE

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections