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README.md

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+---
+language:
+  - en
+license: cc-by-4.0
+multilinguality: monolingual
+task_categories:
+  - sentence-similarity
+  - feature-extraction
+tags:
+  - sonar
+  - speech-embeddings
+  - text-embeddings
+  - common-voice
+  - interpretability
+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` (~650k utterances), `dev`, `test`.
+
+## 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/).
+
+## 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        = {2026.XXXXX},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CL}
+}
+```