Create README.md

README.md

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+---
+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}, 
+}
+```