| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| multilinguality: monolingual |
| task_categories: |
| - sentence-similarity |
| - feature-extraction |
| tags: |
| - sonar |
| - speech-embeddings |
| - text-embeddings |
| - common-voice |
| - interpretability |
| arxiv: 2604.18109 |
| pretty_name: FLiP-data |
| --- |
| |
| # FLiP-data |
|
|
| Preprocessed data for the [FLiP](https://github.com/BUTSpeechFIT/FLiP) project — **Factorized Linear Projection for Interpreting Multimodal Multilingual Sentence Embeddings**. |
|
|
| FLiP trains a factorized log-linear model to recover lexical content (keywords) from pretrained sentence embeddings via a single linear projection, with no fine-tuning of the encoder. |
|
|
| ## Contents |
|
|
| SONAR embeddings and transcripts for **Mozilla Common Voice v15 English** (train / dev / test): |
|
|
| | File | Description | |
| |------|-------------| |
| | `*_speech_embs.npy` | SONAR speech embeddings (float32, shape `[N, 1024]`) | |
| | `*_text_embs.npy` | SONAR text embeddings (float32, shape `[N, 1024]`) | |
| | `*_sim_scores.npy` | Cosine similarity between paired speech and text embeddings | |
| | `*_transcript.txt` | Reference transcripts (one utterance per line) | |
| | `*_entities_gemini2.5_flash_lite.jsonl` | Named entities extracted with Gemini 2.5 Flash Lite | |
|
|
| Splits: `train` (~1M utterances), `dev` (~16k), `test` (~16k). |
|
|
| ## Source data |
|
|
| Embeddings were computed from [Mozilla Common Voice v15](https://commonvoice.mozilla.org/) English using the [SONAR](https://github.com/facebookresearch/SONAR) encoder. Audio and transcripts from Common Voice are licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
|
|
| ## Trained checkpoints |
|
|
| | HF repo | Training data | Embedding | Rank | Size | |
| |---------|--------------|-----------|-----:|-----:| |
| | [BUT-FIT/FLiP-en-sonar](https://huggingface.co/BUT-FIT/FLiP-en-sonar) → `mcv15/rank-512/` | MCV v15 EN | SONAR | 512 | 207 MB | |
| | [BUT-FIT/FLiP-en-sonar](https://huggingface.co/BUT-FIT/FLiP-en-sonar) → `mcv15/rank-1024/` | MCV v15 EN | SONAR | 1024 | 414 MB | |
|
|
| ## Usage |
|
|
| See the [FLiP GitHub repo](https://github.com/BUTSpeechFIT/FLiP) for full installation instructions and training/evaluation scripts. |
|
|
| Quick start after downloading: |
|
|
| ```python |
| import numpy as np |
| |
| train_speech = np.load("cv_15/en/sonar_embeddings/train_speech_embs.npy") |
| train_text = np.load("cv_15/en/sonar_embeddings/train_text_embs.npy") |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{kesiraju2026flip, |
| title = {{FLiP}: Towards understanding and interpreting multimodal multilingual sentence embeddings}, |
| author = {Kesiraju, Santosh and Yusuf, Bolaji and Sedl{\'a}{\v{c}}ek, Simon and Plchot, Old{\v{r}}ich and Schwarz, Petr}, |
| year = {2026}, |
| eprint = {2604.18109}, |
| archivePrefix = {arXiv}, |
| primaryClass = {cs.CL}, |
| url = {https://arxiv.org/abs/2604.18109}, |
| } |
| ``` |
|
|
