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Bilingual Phoneme BabyLMs: evaluation data

The minimal-pair evaluation data used in Cross-Linguistic Effects in Bilingual Phoneme BabyLMs, in orthographic and phonemic form. It is exactly what src/scripts/prepare_eval.py in the code repository produces, provided for anyone who cannot run the espeak-ng phonemizer.

Download

From the root of the code repository:

hf download nikitastheo/phonelm-eval --repo-type dataset --local-dir data --exclude README.md

This places eval_text/ and eval_phone/ under data/, where the evaluation scripts expect them.

Contents

Benchmark eval_text/ eval_phone/ Pairs
BLiMP (filtered), 67 phenomena blimp/ blimp/ 59,875
BabySLM syntactic babyslm_syntactic/ babyslm_syntactic/ 8,640
BabySLM lexical — babyslm_lexical/ 71,408
MultiBLiMP English mblimp/eng/ mblimp/eng/ 770
MultiBLiMP German mblimp/deu/ mblimp/deu/ 2,298
MultiBLiMP Persian mblimp/pes/ mblimp/pes/ 2,553
MultiBLiMP Basque mblimp/eus/ mblimp/eus/ 273

Each file is JSON Lines with one minimal pair per line (sentence_good, sentence_bad, plus the benchmark's own fields). BabySLM lexical only exists phonemically.

The phonemic versions of BLiMP and MultiBLiMP were produced with G2P+ using the espeak-ng backend, in each sentence's own language. Phonemes are space-separated, words are separated by WORD_BOUNDARY, and each sentence ends with UTT_BOUNDARY. BabySLM ships its own phonemic transcriptions.

Sources and licences

Each subset keeps the licence of its source:

Please cite the original benchmarks alongside our paper.

Citation

@misc{theodoropoulos2026crosslinguistic,
  title         = {Cross-Linguistic Effects in Bilingual Phoneme BabyLMs},
  author        = {Theodoropoulos, Nikitas and Lymperaiou, Maria and Filandrianos, Giorgos},
  year          = {2026},
  eprint        = {2609.37121},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CL},
  url           = {https://arxiv.org/abs/2609.37121}
}
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