---
license: apache-2.0
language:
  - afr
  - amh
  - ara
  - ast
  - aze
  - bel
  - bul
  - ben
  - cat
  - ceb
  - ckb
  - cmn
  - ces
  - cym
  - dan
  - deu
  - ell
  - eng
  - spa
  - est
  - fas
  - ful
  - fin
  - fra
  - gle
  - glg
  - hau
  - heb
  - hin
  - hrv
  - hun
  - hye
  - ind
  - ita
  - jpn
  - jav
  - kat
  - kaz
  - khm
  - kan
  - kor
  - kir
  - lug
  - lao
  - lit
  - lav
  - mri
  - mkd
  - mal
  - mon
  - mar
  - msa
  - mlt
  - mya
  - nob
  - nep
  - nld
  - nya
  - orm
  - ori
  - pan
  - pol
  - pus
  - por
  - ron
  - rus
  - slv
  - sna
  - som
  - swe
  - swa
  - tam
  - tel
  - tgk
  - tha
  - tur
  - ukr
  - urd
  - uzb
  - vie
  - wol
  - xho
  - yor
  - yue
  - zul


configs:
- config_name: default
  data_files:
  - split: train
    path: parquet_data/train/*.parquet
  - split: validation
    path: parquet_data/validation/*.parquet
  - split: test
    path: parquet_data/test/*.parquet

tags:
- audio
- speech
- textgrid
- forced-alignment
- phonetics
- multilingual
- low-resource-languages
---

This dataset provides TextGrids with tiers `phones` in IPA and `words` in usual script corresponding to field `word_segmented` in
[`mahesh27/fleurs-ipa`](https://huggingface.co/datasets/mahesh27/fleurs-ipa).

Alignments are generated using [`mahesh27/mms-300m-ipa-fleurs`](https://huggingface.co/mahesh27/mms-300m-ipa-fleurs) along with post silence trimming as per [the paper](https://arxiv.org/abs/2608.28508).

### Usage

Download `textgrids.zip` and extract such that the directory structure looks like `textgrids/en_us/123456789.TextGrid`. For metadata, load as usual:

```python
from datasets import load_dataset

ds = load_dataset("mahesh27/fleurs-textgrids")
```

### Citation

```
@article{akavarapu2026phoneme,
      title={Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluation}, 
      author={V.S.D.S.Mahesh Akavarapu and Michael Daniel and Gerhard Jäger},
      year={2026},
      journal={arXiv preprint arXiv:2608.28508},
      url={https://arxiv.org/abs/2608.28508}, 
}
```