--- license: cc-by-4.0 pretty_name: Lombard GRID Cross-Modal Utterance Retrieval task_categories: - any-to-any tags: - mteb - moeb - audio-video-retrieval - cross-view-retrieval - speech-retrieval dataset_info: - config_name: condition_pairs features: - name: plain_recording_id dtype: string - name: lombard_recording_id dtype: string splits: - name: test num_bytes: 23760 num_examples: 540 download_size: 13102 dataset_size: 23760 - config_name: matching_utterances features: - name: audio_id dtype: string - name: front_video_id dtype: string - name: profile_video_id dtype: string splits: - name: test num_bytes: 36720 num_examples: 540 download_size: 19393 dataset_size: 36720 - config_name: media features: - name: recording_id dtype: string - name: audio_id dtype: string - name: front_video_id dtype: string - name: profile_video_id dtype: string - name: front_video dtype: video - name: profile_video dtype: video - name: audio dtype: audio splits: - name: test num_bytes: 538091712 num_examples: 1080 download_size: 498569082 dataset_size: 538091712 configs: - config_name: condition_pairs data_files: - split: test path: condition_pairs/test-* - config_name: matching_utterances data_files: - split: test path: matching_utterances/test-* - config_name: media data_files: - split: test path: media/test-* --- # Lombard GRID Cross-Modal Utterance Retrieval Four MTEB/MOEB utterance-retrieval tasks derived from the [Lombard GRID corpus](https://zenodo.org/records/3736465): audio-to-video, video-to-audio, frontal-to-profile video, and plain-to-Lombard video+audio. Relevance always requires the same utterance recording or the same speaker-and-sentence pair; speaker identity alone is never relevant. The source paper introduced the corpus but did not define these retrieval tasks. Relevance is derived from native recording, speaker, sentence-code, condition, and camera-view labels. ## Frozen evaluation protocol - Speakers: 54 (`s2` through `s55`; `s1` was excluded by the source) - Selected sentence codes: 540 (10 per speaker) - Published media recordings: 1080 - Matching-task recordings: 540 (5 plain and 5 Lombard per speaker) - Selection seed: `mteb-lombard-grid-retrieval-v2` For every speaker, eligible sentence codes present in both conditions and all three media streams are ordered by SHA-256 over the fixed seed, speaker, and sentence code. The first ten valid pairs are retained. Five plain and five Lombard recordings per speaker are then selected deterministically for the three same-recording tasks. Opaque IDs are published; speaker, condition, sentence code, transcription, and other text are not encodable dataset features. | Task | Queries | Corpus | Qrels | Positives/query | |---|---:|---:|---:|---:| | Audio to frontal/profile video | 540 | 1,080 | 1,080 | 2 | | Frontal/profile video to audio | 1,080 | 540 | 1,080 | 1 | | Frontal video to profile video | 540 | 540 | 540 | 1 | | Plain frontal video+audio to Lombard frontal video+audio | 540 | 540 | 540 | 1 | ## Source audit and release discrepancies The official JSON archive contains 5,340 rows, while each media archive contains 5,390 files. All three media archives have exactly the same recording filenames. The media restore 50 `s31` recordings absent from JSON. `s51` has only 40 plain and 50 Lombard files, rather than the advertised 50 of each. `s14` has 51 plain and 49 Lombard rows, including a duplicate `prwr3a` recording key. The JSON metadata labels 69 recordings as `WRONG`. Media filenames mark 70: the additional one is among the 50 media-only `s31` recordings. All 70, plus the one legacy-named duplicate, are excluded from selection. Four frontal MOV files lack a `moov` atom and are corrupt: `s32_l_pwip9p`, `s32_p_bwwj2n`, `s33_l_pwajza`, and `s33_p_sgwq2s`. The deterministic selection required 0 fallback(s). The selected protocol remains exactly balanced after exclusions. ## Media processing and validation The released MOV files are already H.264/yuv420p visual-only clips, so 2,160 selected videos are copied without transcoding. 0 video(s) required a lossless video-stream remux to remove embedded audio. Separate source WAV files are copied without transcoding. All 1080 frontal videos, 1080 profile videos, and 1080 audio files were decoded completely with TorchCodec during construction. Matching source filename stems establish audiovisual correspondence. Selected video/audio duration differences were checked and paired decoding succeeded. The source paper reports correlation-based audiovisual alignment before utterance extraction; this construction did **not** independently verify signal-level synchronization. The shared configs avoid storing the same media repeatedly across four tasks: - `media/test`: opaque recording and modality IDs, frontal video, profile video, audio - `matching_utterances/test`: opaque audio, frontal-video, and profile-video IDs - `condition_pairs/test`: opaque plain- and Lombard-recording IDs The MTEB task loaders project these configs into the standard query, corpus, and qrel structures without exposing source labels to embedding models. ## Evaluation The primary metric for all four tasks is nDCG@10. Other standard MTEB retrieval metrics are reported as secondary results. These protocols are newly derived, so there is no source-paper retrieval score to reproduce. ## License and attribution The source corpus is released under the [Creative Commons Attribution 4.0 International license](https://creativecommons.org/licenses/by/4.0/). Please attribute the original authors and cite the paper below. The MTEB task metadata and this card both use `cc-by-4.0`. ## Responsible use The source contains identifiable faces and voices. Although these tasks evaluate utterance correspondence rather than biometric identification, the representations may still encode identity and demographic attributes. Users should consider participant consent, privacy, applicable biometric-data law, subgroup behavior, and downstream misuse before training or deploying related systems. ## Citation ```bibtex @article{alghamdi2018corpus, author = {Alghamdi, Najwa and Maddock, Steve and Marxer, Ricard and Barker, Jon and Brown, Guy J.}, title = {A corpus of audio-visual Lombard speech with frontal and profile views}, journal = {The Journal of the Acoustical Society of America}, volume = {143}, number = {6}, pages = {EL523--EL529}, year = {2018}, doi = {10.1121/1.5042758}, } ```