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README.md

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+---
+license: cc-by-nc-sa-4.0
+task_categories:
+- token-classification
+- translation
+language:
+- fr
+tags:
+- sign_language
+- sign_language_processing
+- sign_language_recognition
+- sign_language_segmentation
+- computer_vision
+- natural_language_processing
+pretty_name: French Belgian Sign Language (LSFB) Dataset
+configs:
+  - config_name: annotated
+    data_files:
+      - split: train
+        path:
+          - "shards/annotated/shard_000002.tar"
+          - "shards/annotated/shard_000003.tar"
+          - "shards/annotated/shard_000004.tar"
+          - "shards/annotated/shard_000005.tar"
+          - "shards/annotated/shard_000006.tar"
+          - "shards/annotated/shard_000007.tar"
+      - split: validation
+        path: "shards/annotated/shard_000001.tar"
+      - split: test
+        path: "shards/annotated/shard_000000.tar"
+  - config_name: unannotated
+    data_files:
+      - split: train
+        path:
+          - "shards/unannotated/shard_000000.tar"
+          - "shards/unannotated/shard_000001.tar"
+          - "shards/unannotated/shard_000002.tar"
+          - "shards/unannotated/shard_000003.tar"
+          - "shards/unannotated/shard_000004.tar"
+          - "shards/unannotated/shard_000005.tar"
+          - "shards/unannotated/shard_000006.tar"
+          - "shards/unannotated/shard_000007.tar"
+          - "shards/unannotated/shard_000008.tar"
+      - split: validation
+        path:
+          - "shards/unannotated/shard_000009.tar"
+          - "shards/unannotated/shard_000010.tar"
+      - split: test
+        path: "shards/unannotated/shard_000011.tar"
+---
+
+# LSFB-CONT: Continuous French Belgian Sign Language Dataset
+
+LSFB-CONT is the **continuous** (untrimmed) subset of the [LSFB corpus](https://www.corpus-lsfb.be/): full-length recordings of signers, with pose sequences and, for part of the data, temporal sign/translation annotations. It is built for **Continuous Sign Language Recognition (CSLR)**, **Sign Language Segmentation (SLS)**, and **Sign Language Translation (SLT)**.
+
+The isolated, per-sign counterpart of this dataset is [lsfb-isol](https://huggingface.co/datasets/ppoitier/lsfb-isol), where each sample is a single pre-segmented sign clip extracted from these recordings.
+
+## Dataset structure
+
+The dataset is distributed as [WebDataset](https://github.com/webdataset/webdataset) `.tar` shards, in two configs:
+
+- **`annotated`** (8 shards) — recordings with temporal annotations (glosses, lemmas, translations).
+- **`unannotated`** (12 shards) — additional recordings with pose only, no annotations. Useful for self-supervised / semi-supervised pretraining.
+
+Each sample is keyed by a recording id (e.g. `CLSFBI0301A_S007_B`) and contains:
+
+- `pose.<body_part>.npy` — keypoint sequence for the whole recording, for one body part (`upper_pose`, `left_hand`, `right_hand`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`)
+- `signer.txt` — anonymized signer id (e.g. `S007`)
+- `language.txt` — always `lsfb`
+
+`annotated` samples additionally contain:
+
+- `annotations.left_hand.json` / `annotations.right_hand.json` / `annotations.both_hands.json` — lists of `{start_ms, end_ms, start_frame, end_frame, gloss, lemma, sign_type, specifier, variation}` segments, one list per annotated hand/tier
+- `annotations.translation.json` — list of `{start_ms, end_ms, start_frame, end_frame, text}` French translation segments
+
+This release does not include raw video; only pose sequences and annotations are provided.
+
+## Usage
+
+This dataset is designed to be loaded with [sign-language-data-loading](https://github.com/ppoitier/sign-language-data-loading) (`sldl`, [PyPI](https://pypi.org/project/sign-language-data-loading/)), which reads the WebDataset shards directly and handles pose decoding, windowing and target encoding:
+
+```bash
+pip install "sign-language-data-loading[torch]"
+```
+
+```python
+from sldl import SignLanguageDataset
+from sldl.configs import LSFBContConfig
+
+dataset = SignLanguageDataset.from_config(
+    LSFBContConfig(
+        root="path/to/lsfb-cont",  # local clone or download of this repo
+        split="training",
+        load_videos=False,  # no video files in this release
+    )
+)
+
+sample = dataset[0]
+print(sample["annotations"]["both_hands"].head())
+print(sample["poses"]["upper_pose"].shape)
+```
+
+Pose and annotation transforms (e.g. converting sign boundaries to frame labels for CSLR) are provided by [sign-language-tools](https://github.com/ppoitier/sign-language-tools) ([PyPI](https://pypi.org/project/sign-language-tools/)), which `sldl`'s built-in target encoders (e.g. `FrameLabelsTarget`) build on.
+
+## License
+
+This dataset is distributed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).
+
+## Related projects
+
+- [sign-language-data-loading](https://github.com/ppoitier/sign-language-data-loading) ([PyPI](https://pypi.org/project/sign-language-data-loading/)) — PyTorch-friendly data loading for sign language datasets stored as WebDataset shards; this dataset's intended loader.
+- [sign-language-tools](https://github.com/ppoitier/sign-language-tools) ([PyPI](https://pypi.org/project/sign-language-tools/)) — pose and annotation transforms for sign language processing.
+- [lsfb-isol](https://huggingface.co/datasets/ppoitier/lsfb-isol) — the isolated (single-sign) counterpart of this dataset, useful for Isolated Sign Language Recognition (ISLR).

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