v0.2: 600 clips, 4 signers, 150 parallel phrases + robustness benchmark
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +573 -0
- BENCHMARK.md +71 -0
- README.md +92 -106
- annotations/clerc_v02_001.json +15 -0
- annotations/clerc_v02_002.json +30 -0
- annotations/clerc_v02_003.json +25 -0
- annotations/clerc_v02_004.json +25 -0
- annotations/clerc_v02_005.json +35 -0
- annotations/clerc_v02_006.json +35 -0
- annotations/clerc_v02_007.json +45 -0
- annotations/clerc_v02_008.json +30 -0
- annotations/clerc_v02_009.json +15 -0
- annotations/clerc_v02_010.json +25 -0
- annotations/clerc_v02_011.json +15 -0
- annotations/clerc_v02_012.json +40 -0
- annotations/clerc_v02_013.json +30 -0
- annotations/clerc_v02_014.json +30 -0
- annotations/clerc_v02_015.json +30 -0
- annotations/clerc_v02_016.json +20 -0
- annotations/clerc_v02_017.json +30 -0
- annotations/clerc_v02_018.json +30 -0
- annotations/clerc_v02_019.json +25 -0
- annotations/clerc_v02_020.json +45 -0
- annotations/clerc_v02_021.json +40 -0
- annotations/clerc_v02_022.json +25 -0
- annotations/clerc_v02_023.json +30 -0
- annotations/clerc_v02_024.json +30 -0
- annotations/clerc_v02_025.json +30 -0
- annotations/clerc_v02_026.json +25 -0
- annotations/clerc_v02_027.json +30 -0
- annotations/clerc_v02_028.json +25 -0
- annotations/clerc_v02_029.json +40 -0
- annotations/clerc_v02_030.json +50 -0
- annotations/clerc_v02_031.json +30 -0
- annotations/clerc_v02_032.json +25 -0
- annotations/clerc_v02_033.json +35 -0
- annotations/clerc_v02_034.json +25 -0
- annotations/clerc_v02_035.json +35 -0
- annotations/clerc_v02_036.json +25 -0
- annotations/clerc_v02_037.json +20 -0
- annotations/clerc_v02_038.json +20 -0
- annotations/clerc_v02_039.json +25 -0
- annotations/clerc_v02_040.json +25 -0
- annotations/clerc_v02_041.json +20 -0
- annotations/clerc_v02_042.json +20 -0
- annotations/clerc_v02_043.json +20 -0
- annotations/clerc_v02_044.json +25 -0
- annotations/clerc_v02_045.json +25 -0
- annotations/clerc_v02_046.json +20 -0
- annotations/clerc_v02_047.json +25 -0
.gitattributes
CHANGED
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@@ -296,3 +296,576 @@ keypoints/clerc_v01_297.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v01_298.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v01_299.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v01_300.npy filter=lfs diff=lfs merge=lfs -text
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| 296 |
keypoints/clerc_v01_298.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v01_299.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v01_300.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_001.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_002.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_003.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_004.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_005.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_006.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_007.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_008.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_009.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_010.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_011.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_012.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_013.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_014.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_015.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_016.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_017.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_018.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_019.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_020.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_021.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_022.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_023.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_024.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_025.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_026.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_027.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_028.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_029.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_030.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_031.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_032.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_033.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_034.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_035.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_036.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_037.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_038.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_039.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_040.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_041.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_042.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_043.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_044.npy filter=lfs diff=lfs merge=lfs -text
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keypoints/clerc_v02_045.npy filter=lfs diff=lfs merge=lfs -text
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BENCHMARK.md
ADDED
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@@ -0,0 +1,71 @@
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| 1 |
+
# Épée v0.2 · Signer-Robustness Benchmark
|
| 2 |
+
|
| 3 |
+
**What it shows:** signer variation is the core problem in sign-language AI, and the fix is
|
| 4 |
+
*more native signers and more data*, not a bigger model.
|
| 5 |
+
|
| 6 |
+
The model is trained on the four signers in this release (ALPHA, BRAVO, CHARLIE, DELTA) and tested on
|
| 7 |
+
**two native Deaf signers held entirely outside this release** (no shared clips, no shared phrases), so
|
| 8 |
+
there is no train/test leakage. All signers are pseudonymized.
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
## Setup
|
| 15 |
+
|
| 16 |
+
| | |
|
| 17 |
+
|---|---|
|
| 18 |
+
| Model | small BiLSTM (1 layer, hidden 64, bidirectional, mean-pool → linear) |
|
| 19 |
+
| Input | keypoint sequences, hands + arms (48 pts, x/y), shoulder-normalized, resampled to 24 frames |
|
| 20 |
+
| Task | sign (gloss) classification on **24 glosses** shared by all four training signers and both held-out test signers |
|
| 21 |
+
| Train | 858 gloss segments from the four release signers |
|
| 22 |
+
| Test | two signers held entirely out of training (≈1,900 and ≈1,450 segments) |
|
| 23 |
+
| Chance | 4.2% (1 / 24) · **8 seeds** per configuration, mean ± std |
|
| 24 |
+
| Metrics | top-1 accuracy **and macro-F1** (the task is imbalanced; macro-F1 is the honest headline) |
|
| 25 |
+
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
## Result 1 · More signers → better on a brand-new signer
|
| 29 |
+
|
| 30 |
+
Tested on a held-out signer (Signer A), never seen in training:
|
| 31 |
+
|
| 32 |
+
| # training signers | Accuracy | Macro-F1 |
|
| 33 |
+
|---|---|---|
|
| 34 |
+
| 1 | 22% | 0.13 |
|
| 35 |
+
| 2 | 40% | 0.24 |
|
| 36 |
+
| 3 | 50% | 0.32 |
|
| 37 |
+
| **4** | **59%** | **0.38** |
|
| 38 |
+
|
| 39 |
+
Each added signer lifts accuracy on a stranger; the 4th signer alone adds **+9 points**. A signer the
|
| 40 |
+
model *has* seen scores 65% (ceiling); chance is 4.2%. Confirmed on a second held-out signer (Signer B): **54%**.
|
| 41 |
+
|
| 42 |
+
> *Honest note:* run-to-run std narrows from ±12% (1 signer) to ±8% (4 signers), but part of that is a
|
| 43 |
+
> counting effect (more single-signer combinations at N=1 than at N=4). We therefore lead with the
|
| 44 |
+
> **accuracy trend**, not the variance.
|
| 45 |
+
|
| 46 |
+
## Result 2 · More data → keeps climbing, not saturated
|
| 47 |
+
|
| 48 |
+
Same held-out signer; training set grown by a clean random fraction of the four-signer pool:
|
| 49 |
+
|
| 50 |
+
| Training examples | 80 | 160 | 260 | 380 | 520 | 680 | 858 |
|
| 51 |
+
|---|---|---|---|---|---|---|---|
|
| 52 |
+
| Accuracy | 23% | 30% | 33% | 43% | 42% | 54% | **61%** |
|
| 53 |
+
|
| 54 |
+
The curve rises from 23% to 61% and is still climbing at the largest size. More data directly buys more
|
| 55 |
+
generalization to an unseen signer.
|
| 56 |
+
|
| 57 |
+
---
|
| 58 |
+
|
| 59 |
+
## Takeaway
|
| 60 |
+
|
| 61 |
+
> Trained on one Deaf signer, the recognizer gets **22%** on a signer it has never seen. Trained on four,
|
| 62 |
+
> it reaches **59%**, and the curve (in both signers and data) has not flattened. A bigger model does not
|
| 63 |
+
> close this gap; it is a property of the data. This is why CLERC builds the multi-signer data layer.
|
| 64 |
+
|
| 65 |
+
## Caveats
|
| 66 |
+
|
| 67 |
+
- 24-gloss shared subset; the full vocabulary will differ, but the *shape* (more signers/data → up) should hold.
|
| 68 |
+
- Measures generalization across signer **bodies**, not across topics; cross-vocabulary generalization is a separate, harder test.
|
| 69 |
+
- "Not saturated" is supported by the signer curve and 7 data points, not proven asymptotically.
|
| 70 |
+
- Small BiLSTM by design; a bigger model does not close the 1-signer-vs-4-signer gap, which is a data property.
|
| 71 |
+
- The two held-out test signers come from the broader CLERC corpus and are not part of this public release.
|
README.md
CHANGED
|
@@ -12,7 +12,7 @@ tags:
|
|
| 12 |
- pose-estimation
|
| 13 |
- multimodal
|
| 14 |
- accessibility
|
| 15 |
-
pretty_name: "CLERC Épée v0.
|
| 16 |
size_categories:
|
| 17 |
- n<1K
|
| 18 |
task_categories:
|
|
@@ -21,11 +21,11 @@ task_categories:
|
|
| 21 |
- token-classification
|
| 22 |
---
|
| 23 |
|
| 24 |
-
# CLERC Épée v0.
|
| 25 |
|
| 26 |
**The first AI-grade sign language data layer.**
|
| 27 |
|
| 28 |
-
A
|
| 29 |
|
| 30 |
> CLERC builds the data layer underneath sign language AI — not a translation tool, not an accessibility app. Infrastructure.
|
| 31 |
|
|
@@ -33,14 +33,29 @@ A pilot release of structured, multi-signer ASL data designed for AI training, r
|
|
| 33 |
|
| 34 |
## Dataset Summary
|
| 35 |
|
| 36 |
-
- **
|
| 37 |
-
- **Inter-signer parallel structure** — identical phrases across signers for direct variability analysis
|
| 38 |
- **Multimodal keypoints** — hands, body, eyes, mouth, head silhouette (MediaPipe-extracted)
|
| 39 |
- **Linguistically validated** — ASL gloss annotations with temporal segmentation
|
| 40 |
|
| 41 |
> **This release ships extracted keypoints and annotations only — no raw video.** Source clips remain proprietary; access is reserved for commercial licensing (contact **florian@clerc.io**).
|
| 42 |
|
| 43 |
-
This is **v0.
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|
|
|
|
|
|
|
|
|
|
|
| 44 |
|
| 45 |
---
|
| 46 |
|
|
@@ -48,15 +63,16 @@ This is **v0.1**, a pilot release representing a portion of the full CLERC catal
|
|
| 48 |
|
| 49 |
| Metric | Value |
|
| 50 |
|---|---|
|
| 51 |
-
| Total clips |
|
| 52 |
-
|
|
| 53 |
-
|
|
| 54 |
-
| Total
|
| 55 |
-
|
|
| 56 |
-
|
|
| 57 |
-
|
|
| 58 |
-
|
|
| 59 |
-
|
|
|
|
|
| 60 |
| Frame rate | 29.95 – 30.0 fps |
|
| 61 |
| Coordinate space | MediaPipe image-normalized (signer perspective) |
|
| 62 |
|
|
@@ -64,16 +80,16 @@ This is **v0.1**, a pilot release representing a portion of the full CLERC catal
|
|
| 64 |
|
| 65 |
| # | Gloss | Tokens | % of corpus |
|
| 66 |
|---|---|---|---|
|
| 67 |
-
| 1 | YOU |
|
| 68 |
-
| 2 | QUESTION |
|
| 69 |
-
| 3 |
|
| 70 |
-
| 4 |
|
| 71 |
-
| 5 |
|
| 72 |
-
| 6 |
|
| 73 |
-
| 7 |
|
| 74 |
-
| 8 |
|
| 75 |
-
| 9 |
|
| 76 |
-
| 10 |
|
| 77 |
|
| 78 |
---
|
| 79 |
|
|
@@ -87,9 +103,9 @@ This is **v0.1**, a pilot release representing a portion of the full CLERC catal
|
|
| 87 |
## Dataset Structure
|
| 88 |
|
| 89 |
```
|
| 90 |
-
epee
|
| 91 |
-
├── keypoints/ #
|
| 92 |
-
├── annotations/ #
|
| 93 |
└── metadata.csv # master index (1 row per clip)
|
| 94 |
```
|
| 95 |
|
|
@@ -100,25 +116,24 @@ epee-v01/
|
|
| 100 |
| 0–20 | Left hand (21 points) | MediaPipe Hands | |
|
| 101 |
| 21–41 | Right hand (21 points) | MediaPipe Hands | |
|
| 102 |
| 42–53 | Upper body (12 points) | MediaPipe Pose [11:23] | shoulders, elbows, wrists, finger anchors |
|
| 103 |
-
| 54–63 | Lower body (10 points) | MediaPipe Pose [23:33] | hips, knees, ankles, heels, feet — spatial context, optional
|
| 104 |
| 64–91 | Eyes + mouth only (28 points) | MediaPipe Face | privacy-preserving subset |
|
| 105 |
| 92–127 | Head silhouette (36 points) | MediaPipe FaceMesh `FACE_OVAL` | forehead, jaw, ears — outline only, no internal features |
|
| 106 |
|
| 107 |
-
The 36 head-silhouette landmarks come from MediaPipe FaceMesh `FACE_OVAL` indices `10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288, 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136, 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109` (in that traversal order). The points form a closed polygon outlining the head — no internal facial features are included, so the privacy stance is preserved.
|
| 108 |
|
| 109 |
### Coordinate space
|
| 110 |
|
| 111 |
Coordinates are MediaPipe's **image-normalized space**, NOT clipped to `[0, 1]`:
|
| 112 |
|
| 113 |
-
- **x** is in `[0, 1]` (frame width)
|
| 114 |
-
- **y** is in `[0, 1]` for points visible in frame, but can exceed `1.0` for body landmarks extrapolated below the visible frame
|
| 115 |
- **z** is depth relative to the hips, roughly in MediaPipe Pose's world-scale units
|
| 116 |
|
| 117 |
-
Source clips are framed waist-up. Lower-body landmarks (dataset indices **54–63**) come from MediaPipe Pose's full-body prediction
|
| 118 |
|
| 119 |
```python
|
| 120 |
kp_slr = np.concatenate([kp[:, :54], kp[:, 64:]], axis=1) # → (n_frames, 118, 3)
|
| 121 |
-
# Keeps hands + upper body + face + head silhouette
|
| 122 |
```
|
| 123 |
|
| 124 |
Zero values `(0, 0, 0)` indicate a landmark was not detected for that frame (e.g. an off-screen hand).
|
|
@@ -129,21 +144,19 @@ Glosses (uppercase ASL labels) follow a few conventions worth knowing before tra
|
|
| 129 |
|
| 130 |
**Base gloss** — `WHAT`, `YOU`, `BATHROOM`. The standard form of a sign.
|
| 131 |
|
| 132 |
-
**Variants — `BASE_N`** (e.g. `SIGN_2`, `WHAT_3`
|
| 133 |
|
| 134 |
-
**Directional / movement suffixes** — `POINTER_RIGHT`, `
|
| 135 |
|
| 136 |
-
**Phrase repetitions** — Some clips contain the target phrase signed more than once (emphasis, demonstration, self-correction). Each occurrence is
|
| 137 |
|
| 138 |
**Recommended preprocessing**
|
| 139 |
|
| 140 |
```python
|
| 141 |
-
# To group variants under one English concept for classification:
|
| 142 |
import re
|
| 143 |
def base_gloss(g):
|
| 144 |
return re.sub(r"_\d+$", "", g) # SIGN_2 → SIGN
|
| 145 |
|
| 146 |
-
# To filter clips with phrase repetitions:
|
| 147 |
from collections import Counter
|
| 148 |
def has_repeat(segments):
|
| 149 |
return any(c >= 2 for c in Counter(s["gloss"] for s in segments).values())
|
|
@@ -153,15 +166,14 @@ def has_repeat(segments):
|
|
| 153 |
|
| 154 |
```json
|
| 155 |
{
|
| 156 |
-
"clip_id": "
|
| 157 |
-
"signer_id": "
|
| 158 |
"sign_language": "ASL",
|
| 159 |
"text_en": "What's up?",
|
| 160 |
"fps": 30.0,
|
| 161 |
"n_frames": 139,
|
| 162 |
"segments": [
|
| 163 |
{ "gloss": "WHAT'S UP", "start": 0.9, "end": 1.4 },
|
| 164 |
-
{ "gloss": "WHAT", "start": 1.6, "end": 1.8 },
|
| 165 |
{ "gloss": "QUESTION", "start": 2.0, "end": 2.8 }
|
| 166 |
]
|
| 167 |
}
|
|
@@ -173,17 +185,18 @@ def has_repeat(segments):
|
|
| 173 |
|
| 174 |
| signer_id | Gender | Age range | Language acquisition | Clips |
|
| 175 |
|-----------|--------|-----------|---------------------|-------|
|
| 176 |
-
| ALPHA | F | 30–40 | Native Deaf signer (ASL L1) |
|
| 177 |
-
| BRAVO | M | 30–40 | Native Deaf signer (ASL L1) |
|
| 178 |
-
| CHARLIE | M | 30–40 | Native Deaf signer (ASL L1) |
|
|
|
|
| 179 |
|
| 180 |
-
**Demographic distribution:**
|
| 181 |
|
| 182 |
Signers participated under written informed consent. The signing space, framing, lighting, and recording protocol were standardized across signers.
|
| 183 |
|
| 184 |
-
**Parallel structure:** all
|
| 185 |
|
| 186 |
-
**Stylistic note:** Phrase repetition
|
| 187 |
|
| 188 |
---
|
| 189 |
|
|
@@ -201,16 +214,12 @@ Signers participated under written informed consent. The signing space, framing,
|
|
| 201 |
|
| 202 |
For production-grade systems or sign language generation models trained at scale, see commercial licensing for access to the full multi-signer corpus.
|
| 203 |
|
| 204 |
-
> **▶ Explore it live** — the three signers in motion + an inter-signer robustness probe: **[clerc.io/data](https://clerc.io/data)**
|
| 205 |
-
|
| 206 |
---
|
| 207 |
|
| 208 |
## Loading the Dataset
|
| 209 |
|
| 210 |
This release ships as plain `.npy` + `.json` files for transparency and zero-dependency loading.
|
| 211 |
|
| 212 |
-
> **Note:** the `datasets` library's `load_dataset()` is **not** the right entry point here — this dataset uses raw NumPy arrays (not Parquet/Arrow) and there is no loading script, by design. Use `huggingface_hub.snapshot_download()` to fetch all files locally, then load with `numpy` + `pandas` as shown below.
|
| 213 |
-
|
| 214 |
```python
|
| 215 |
import json
|
| 216 |
import numpy as np
|
|
@@ -218,26 +227,19 @@ import pandas as pd
|
|
| 218 |
from pathlib import Path
|
| 219 |
from huggingface_hub import snapshot_download
|
| 220 |
|
| 221 |
-
ROOT = Path(snapshot_download(repo_id="CLERC-DATA/epee
|
| 222 |
|
| 223 |
-
# Load metadata
|
| 224 |
metadata = pd.read_csv(ROOT / "metadata.csv")
|
| 225 |
-
print(metadata.head())
|
| 226 |
|
| 227 |
-
|
| 228 |
-
clip_id = "clerc_v01_101"
|
| 229 |
with open(ROOT / "annotations" / f"{clip_id}.json") as f:
|
| 230 |
annotation = json.load(f)
|
| 231 |
-
|
| 232 |
keypoints = np.load(ROOT / "keypoints" / f"{clip_id}.npy")
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
|
| 236 |
-
|
| 237 |
-
|
| 238 |
-
upper_body = keypoints[:, 42:54] # shoulders → wrist anchors
|
| 239 |
-
face_inner = keypoints[:, 64:92] # eyes + mouth
|
| 240 |
-
head_oval = keypoints[:, 92:128] # head silhouette
|
| 241 |
```
|
| 242 |
|
| 243 |
---
|
|
@@ -246,41 +248,28 @@ head_oval = keypoints[:, 92:128] # head silhouette
|
|
| 246 |
|
| 247 |
**CC BY-NC-SA 4.0** — [creativecommons.org/licenses/by-nc-sa/4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)
|
| 248 |
|
| 249 |
-
You are free to:
|
| 250 |
-
- **Share** — copy and redistribute
|
| 251 |
-
- **Adapt** — remix, transform, build upon
|
| 252 |
-
|
| 253 |
-
Under these terms:
|
| 254 |
-
- **Attribution** — give credit, link to license, indicate changes
|
| 255 |
-
- **NonCommercial** — no commercial use
|
| 256 |
-
- **ShareAlike** — distribute contributions under same license
|
| 257 |
-
|
| 258 |
**Commercial licensing:** for enterprise use, training of commercial models, or integration into commercial products, contact **florian@clerc.io**.
|
| 259 |
|
| 260 |
---
|
| 261 |
|
| 262 |
## Ethical Considerations
|
| 263 |
|
| 264 |
-
CLERC is Deaf-led infrastructure. This release adheres to
|
| 265 |
-
|
| 266 |
-
- **Informed consent** — all signers have provided written consent for public release of their data under this license
|
| 267 |
-
- **Privacy protection** — face landmarks are restricted to non-identifying features (eyes + mouth); full biometric data is excluded
|
| 268 |
-
- **Community benefit** — the dataset is released to advance sign language technology research; commercial revenue supports continued Deaf-led data infrastructure
|
| 269 |
-
- **No surveillance use** — this data must not be used for individual identification, behavioral profiling, or any application that surveils or evaluates individual signers
|
| 270 |
|
| 271 |
-
|
|
|
|
|
|
|
|
|
|
| 272 |
|
| 273 |
---
|
| 274 |
|
| 275 |
## Limitations
|
| 276 |
|
| 277 |
-
- **Pilot release** —
|
| 278 |
-
- **
|
| 279 |
-
- **Phrase domain** —
|
| 280 |
-
- **Reduced face landmarks** — full facial grammar (brow, cheeks, head tilt) not included
|
| 281 |
-
- **Gloss only** — no morphological, prosodic, or spatial annotation layers in v0.
|
| 282 |
-
|
| 283 |
-
These limitations are intentional for the v0.1 release. Full multi-layer annotations available via commercial license.
|
| 284 |
|
| 285 |
---
|
| 286 |
|
|
@@ -288,8 +277,8 @@ These limitations are intentional for the v0.1 release. Full multi-layer annotat
|
|
| 288 |
|
| 289 |
| Version | Status | Content |
|
| 290 |
|---------|--------|---------|
|
| 291 |
-
|
|
| 292 |
-
| v0.2 |
|
| 293 |
| v1.0 | Planned 2027 | Multi-layer annotations, broader corpus |
|
| 294 |
|
| 295 |
---
|
|
@@ -297,15 +286,13 @@ These limitations are intentional for the v0.1 release. Full multi-layer annotat
|
|
| 297 |
## How to Cite
|
| 298 |
|
| 299 |
```bibtex
|
| 300 |
-
@dataset{
|
| 301 |
author = {M{\'e}loux, Florian and {CLERC}},
|
| 302 |
-
title = {{CLERC} {\'E}p{\'e}e v0.
|
| 303 |
year = {2026},
|
| 304 |
-
publisher = {
|
| 305 |
-
version = {0.
|
| 306 |
-
|
| 307 |
-
url = {https://doi.org/10.5281/zenodo.20268568},
|
| 308 |
-
note = {CC BY-NC-SA 4.0. Mirrored at https://huggingface.co/datasets/CLERC-DATA/epee-v01}
|
| 309 |
}
|
| 310 |
```
|
| 311 |
|
|
@@ -317,17 +304,16 @@ CLERC builds the data infrastructure that lets AI understand sign language as a
|
|
| 317 |
|
| 318 |
> Sign language is not to be translated. It is to be inscribed.
|
| 319 |
|
| 320 |
-
**Website:** [clerc.io](https://clerc.io)
|
| 321 |
-
**Manifesto:** [clerc.io/manifesto](https://clerc.io)
|
| 322 |
-
**Contact:** florian@clerc.io
|
| 323 |
-
**LinkedIn:** [clerc-io](https://linkedin.com/company/clerc-io)
|
| 324 |
|
| 325 |
---
|
| 326 |
|
| 327 |
## Changelog
|
| 328 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 329 |
**v0.1 — May 2026**
|
| 330 |
-
- Initial public release
|
| 331 |
-
- 300 ASL clips, 3 signers (ALPHA, BRAVO, CHARLIE), parallel structure
|
| 332 |
-
- 128 multimodal keypoints per frame (hands + body + eyes/mouth + head silhouette)
|
| 333 |
-
- Gloss annotations with temporal segmentation
|
|
|
|
| 12 |
- pose-estimation
|
| 13 |
- multimodal
|
| 14 |
- accessibility
|
| 15 |
+
pretty_name: "CLERC Épée v0.2 — Sign Language Data Layer"
|
| 16 |
size_categories:
|
| 17 |
- n<1K
|
| 18 |
task_categories:
|
|
|
|
| 21 |
- token-classification
|
| 22 |
---
|
| 23 |
|
| 24 |
+
# CLERC Épée v0.2
|
| 25 |
|
| 26 |
**The first AI-grade sign language data layer.**
|
| 27 |
|
| 28 |
+
A multi-signer ASL keypoint corpus designed for AI training, research benchmarking, and inter-signer variability studies. **v0.2 expands the signer pool from 3 to 4 and the corpus from 300 to 600 clips, in a fully parallel structure** — every one of 150 phrases is signed by all four Deaf signers.
|
| 29 |
|
| 30 |
> CLERC builds the data layer underneath sign language AI — not a translation tool, not an accessibility app. Infrastructure.
|
| 31 |
|
|
|
|
| 33 |
|
| 34 |
## Dataset Summary
|
| 35 |
|
| 36 |
+
- **600 ASL clips** — 150 unique phrases × 4 Deaf signers (fully parallel structure)
|
| 37 |
+
- **Inter-signer parallel structure** — identical phrases across all four signers for direct variability analysis
|
| 38 |
- **Multimodal keypoints** — hands, body, eyes, mouth, head silhouette (MediaPipe-extracted)
|
| 39 |
- **Linguistically validated** — ASL gloss annotations with temporal segmentation
|
| 40 |
|
| 41 |
> **This release ships extracted keypoints and annotations only — no raw video.** Source clips remain proprietary; access is reserved for commercial licensing (contact **florian@clerc.io**).
|
| 42 |
|
| 43 |
+
This is **v0.2**, a pilot release representing a portion of the full CLERC catalog. Full corpus access available via commercial license.
|
| 44 |
+
|
| 45 |
+
---
|
| 46 |
+
|
| 47 |
+
## Benchmark — why multi-signer data matters
|
| 48 |
+
|
| 49 |
+
A small BiLSTM trained on the four release signers and tested on signers held **entirely outside** the
|
| 50 |
+
training set shows the core result: **one signer does not generalize to a stranger, four do.**
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
- Train on 1 → 2 → 3 → 4 signers, tested on a brand-new signer: **22% → 40% → 50% → 59%** accuracy (macro-F1 0.13 → 0.38).
|
| 55 |
+
- More data keeps lifting it: **23% → 61%** as training examples grow, and the curve is not saturated.
|
| 56 |
+
- Tested on two held-out signers (no leakage), 24 shared glosses, 8 seeds.
|
| 57 |
+
|
| 58 |
+
Full method, numbers, and honest caveats: **[BENCHMARK.md](BENCHMARK.md)**.
|
| 59 |
|
| 60 |
---
|
| 61 |
|
|
|
|
| 63 |
|
| 64 |
| Metric | Value |
|
| 65 |
|---|---|
|
| 66 |
+
| Total clips | 600 (150 per signer) |
|
| 67 |
+
| Unique phrases | 150 (fully parallel × 4 signers) |
|
| 68 |
+
| Signers | 4 (ALPHA, BRAVO, CHARLIE, DELTA) |
|
| 69 |
+
| Total frames | 69,504 |
|
| 70 |
+
| Mean clip length | 116 frames (≈ 3.9 s @ 30 fps) |
|
| 71 |
+
| Total signed duration | 38.61 min |
|
| 72 |
+
| Gloss tokens | 1,708 |
|
| 73 |
+
| Unique glosses | 251 |
|
| 74 |
+
| Mean segments per clip | 2.85 |
|
| 75 |
+
| MediaPipe head-silhouette detection | 99.98% of frames |
|
| 76 |
| Frame rate | 29.95 – 30.0 fps |
|
| 77 |
| Coordinate space | MediaPipe image-normalized (signer perspective) |
|
| 78 |
|
|
|
|
| 80 |
|
| 81 |
| # | Gloss | Tokens | % of corpus |
|
| 82 |
|---|---|---|---|
|
| 83 |
+
| 1 | YOU | 273 | 16.0% |
|
| 84 |
+
| 2 | QUESTION | 182 | 10.7% |
|
| 85 |
+
| 3 | WHERE | 50 | 2.9% |
|
| 86 |
+
| 4 | WHAT | 43 | 2.5% |
|
| 87 |
+
| 5 | HAVE | 41 | 2.4% |
|
| 88 |
+
| 6 | WANT | 36 | 2.1% |
|
| 89 |
+
| 7 | LIKE | 32 | 1.9% |
|
| 90 |
+
| 8 | HOW | 25 | 1.5% |
|
| 91 |
+
| 9 | YOUR | 24 | 1.4% |
|
| 92 |
+
| 10 | HOW MANY | 21 | 1.2% |
|
| 93 |
|
| 94 |
---
|
| 95 |
|
|
|
|
| 103 |
## Dataset Structure
|
| 104 |
|
| 105 |
```
|
| 106 |
+
epee/
|
| 107 |
+
├── keypoints/ # 600 .npy arrays, shape (n_frames, 128, 3)
|
| 108 |
+
├── annotations/ # 600 .json files
|
| 109 |
└── metadata.csv # master index (1 row per clip)
|
| 110 |
```
|
| 111 |
|
|
|
|
| 116 |
| 0–20 | Left hand (21 points) | MediaPipe Hands | |
|
| 117 |
| 21–41 | Right hand (21 points) | MediaPipe Hands | |
|
| 118 |
| 42–53 | Upper body (12 points) | MediaPipe Pose [11:23] | shoulders, elbows, wrists, finger anchors |
|
| 119 |
+
| 54–63 | Lower body (10 points) | MediaPipe Pose [23:33] | hips, knees, ankles, heels, feet — spatial context, optional |
|
| 120 |
| 64–91 | Eyes + mouth only (28 points) | MediaPipe Face | privacy-preserving subset |
|
| 121 |
| 92–127 | Head silhouette (36 points) | MediaPipe FaceMesh `FACE_OVAL` | forehead, jaw, ears — outline only, no internal features |
|
| 122 |
|
| 123 |
+
The 36 head-silhouette landmarks come from MediaPipe FaceMesh `FACE_OVAL` indices `10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288, 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136, 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109` (in that traversal order). The points form a closed polygon outlining the head — no internal facial features are included, so the privacy stance is preserved.
|
| 124 |
|
| 125 |
### Coordinate space
|
| 126 |
|
| 127 |
Coordinates are MediaPipe's **image-normalized space**, NOT clipped to `[0, 1]`:
|
| 128 |
|
| 129 |
+
- **x** is in `[0, 1]` (frame width); a landmark extrapolated just off-frame can fall slightly outside `[0, 1]`
|
| 130 |
+
- **y** is in `[0, 1]` for points visible in frame, but can exceed `1.0` for body landmarks extrapolated below the visible frame
|
| 131 |
- **z** is depth relative to the hips, roughly in MediaPipe Pose's world-scale units
|
| 132 |
|
| 133 |
+
Source clips are framed waist-up. Lower-body landmarks (dataset indices **54–63**) come from MediaPipe Pose's full-body prediction. For hand/face-only SLR pipelines, they can be dropped:
|
| 134 |
|
| 135 |
```python
|
| 136 |
kp_slr = np.concatenate([kp[:, :54], kp[:, 64:]], axis=1) # → (n_frames, 118, 3)
|
|
|
|
| 137 |
```
|
| 138 |
|
| 139 |
Zero values `(0, 0, 0)` indicate a landmark was not detected for that frame (e.g. an off-screen hand).
|
|
|
|
| 144 |
|
| 145 |
**Base gloss** — `WHAT`, `YOU`, `BATHROOM`. The standard form of a sign.
|
| 146 |
|
| 147 |
+
**Variants — `BASE_N`** (e.g. `SIGN_2`, `WHAT_3`). Alternative ways to sign the same English concept (different handshape, location, or movement). The number `N` is an internal disambiguator, not an intensity marker. Treat `WHAT`, `WHAT_2`, `WHAT_3` as siblings sharing the same English target.
|
| 148 |
|
| 149 |
+
**Directional / movement suffixes** — `POINTER_RIGHT`, `GO_LEFT`, `HOW_RIGHT_MOVE`. These mark spatial/movement components inherent to the sign and should not be collapsed with their base form.
|
| 150 |
|
| 151 |
+
**Phrase repetitions** — Some clips contain the target phrase signed more than once (emphasis, demonstration, self-correction). Each occurrence is a separate gloss segment. This is natural signer behavior, not a labeling error.
|
| 152 |
|
| 153 |
**Recommended preprocessing**
|
| 154 |
|
| 155 |
```python
|
|
|
|
| 156 |
import re
|
| 157 |
def base_gloss(g):
|
| 158 |
return re.sub(r"_\d+$", "", g) # SIGN_2 → SIGN
|
| 159 |
|
|
|
|
| 160 |
from collections import Counter
|
| 161 |
def has_repeat(segments):
|
| 162 |
return any(c >= 2 for c in Counter(s["gloss"] for s in segments).values())
|
|
|
|
| 166 |
|
| 167 |
```json
|
| 168 |
{
|
| 169 |
+
"clip_id": "clerc_v02_001",
|
| 170 |
+
"signer_id": "ALPHA",
|
| 171 |
"sign_language": "ASL",
|
| 172 |
"text_en": "What's up?",
|
| 173 |
"fps": 30.0,
|
| 174 |
"n_frames": 139,
|
| 175 |
"segments": [
|
| 176 |
{ "gloss": "WHAT'S UP", "start": 0.9, "end": 1.4 },
|
|
|
|
| 177 |
{ "gloss": "QUESTION", "start": 2.0, "end": 2.8 }
|
| 178 |
]
|
| 179 |
}
|
|
|
|
| 185 |
|
| 186 |
| signer_id | Gender | Age range | Language acquisition | Clips |
|
| 187 |
|-----------|--------|-----------|---------------------|-------|
|
| 188 |
+
| ALPHA | F | 30–40 | Native Deaf signer (ASL L1) | clerc_v02_001 → 150 |
|
| 189 |
+
| BRAVO | M | 30–40 | Native Deaf signer (ASL L1) | clerc_v02_151 → 300 |
|
| 190 |
+
| CHARLIE | M | 30–40 | Native Deaf signer (ASL L1) | clerc_v02_301 → 450 |
|
| 191 |
+
| DELTA | F | 30–40 | Native Deaf signer (ASL L1) | clerc_v02_451 → 600 |
|
| 192 |
|
| 193 |
+
**Demographic distribution:** 2 female / 2 male, all between 30–40 years old. All native ASL signers (Deaf, ASL as first language). Signer identities are pseudonymized.
|
| 194 |
|
| 195 |
Signers participated under written informed consent. The signing space, framing, lighting, and recording protocol were standardized across signers.
|
| 196 |
|
| 197 |
+
**Parallel structure:** all four signers sign the same 150 phrases. The clip blocks are phrase-aligned: `clerc_v02_001`, `_151`, `_301`, `_451` are the four signers' renderings of phrase #1, and so on — enabling direct inter-signer comparison.
|
| 198 |
|
| 199 |
+
**Stylistic note:** Phrase repetition rates vary by signer — natural inter-signer stylistic variation, annotated as separate gloss segments. See gloss conventions for filtering.
|
| 200 |
|
| 201 |
---
|
| 202 |
|
|
|
|
| 214 |
|
| 215 |
For production-grade systems or sign language generation models trained at scale, see commercial licensing for access to the full multi-signer corpus.
|
| 216 |
|
|
|
|
|
|
|
| 217 |
---
|
| 218 |
|
| 219 |
## Loading the Dataset
|
| 220 |
|
| 221 |
This release ships as plain `.npy` + `.json` files for transparency and zero-dependency loading.
|
| 222 |
|
|
|
|
|
|
|
| 223 |
```python
|
| 224 |
import json
|
| 225 |
import numpy as np
|
|
|
|
| 227 |
from pathlib import Path
|
| 228 |
from huggingface_hub import snapshot_download
|
| 229 |
|
| 230 |
+
ROOT = Path(snapshot_download(repo_id="CLERC-DATA/epee", repo_type="dataset"))
|
| 231 |
|
|
|
|
| 232 |
metadata = pd.read_csv(ROOT / "metadata.csv")
|
|
|
|
| 233 |
|
| 234 |
+
clip_id = "clerc_v02_001"
|
|
|
|
| 235 |
with open(ROOT / "annotations" / f"{clip_id}.json") as f:
|
| 236 |
annotation = json.load(f)
|
|
|
|
| 237 |
keypoints = np.load(ROOT / "keypoints" / f"{clip_id}.npy")
|
| 238 |
+
|
| 239 |
+
hands = keypoints[:, :42]
|
| 240 |
+
upper_body = keypoints[:, 42:54]
|
| 241 |
+
face_inner = keypoints[:, 64:92]
|
| 242 |
+
head_oval = keypoints[:, 92:128]
|
|
|
|
|
|
|
|
|
|
| 243 |
```
|
| 244 |
|
| 245 |
---
|
|
|
|
| 248 |
|
| 249 |
**CC BY-NC-SA 4.0** — [creativecommons.org/licenses/by-nc-sa/4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)
|
| 250 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 251 |
**Commercial licensing:** for enterprise use, training of commercial models, or integration into commercial products, contact **florian@clerc.io**.
|
| 252 |
|
| 253 |
---
|
| 254 |
|
| 255 |
## Ethical Considerations
|
| 256 |
|
| 257 |
+
CLERC is Deaf-led infrastructure. This release adheres to:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 258 |
|
| 259 |
+
- **Informed consent** — all signers have provided written consent for public release under this license
|
| 260 |
+
- **Privacy protection** — face landmarks restricted to non-identifying features (eyes + mouth + head outline); full biometric data excluded
|
| 261 |
+
- **Community benefit** — released to advance sign language technology research; commercial revenue supports continued Deaf-led data infrastructure
|
| 262 |
+
- **No surveillance use** — must not be used for individual identification, behavioral profiling, or signer surveillance
|
| 263 |
|
| 264 |
---
|
| 265 |
|
| 266 |
## Limitations
|
| 267 |
|
| 268 |
+
- **Pilot release** — 600 clips is a baseline pilot, not a production-scale corpus
|
| 269 |
+
- **4 signers** — limited inter-signer diversity; full catalog includes a broader signer pool
|
| 270 |
+
- **Phrase domain** — conversational/social phrases; not domain-specific (medical, legal, technical)
|
| 271 |
+
- **Reduced face landmarks** — full facial grammar (brow, cheeks, head tilt) not included
|
| 272 |
+
- **Gloss only** — no morphological, prosodic, or spatial annotation layers in v0.2
|
|
|
|
|
|
|
| 273 |
|
| 274 |
---
|
| 275 |
|
|
|
|
| 277 |
|
| 278 |
| Version | Status | Content |
|
| 279 |
|---------|--------|---------|
|
| 280 |
+
| v0.1 | Superseded | 300 clips, 3 signers, gloss + timing |
|
| 281 |
+
| **v0.2** | ✅ Current | 600 clips, 4 signers (ALPHA–DELTA), 150 parallel phrases, gloss + timing |
|
| 282 |
| v1.0 | Planned 2027 | Multi-layer annotations, broader corpus |
|
| 283 |
|
| 284 |
---
|
|
|
|
| 286 |
## How to Cite
|
| 287 |
|
| 288 |
```bibtex
|
| 289 |
+
@dataset{clerc_epee_v02_2026,
|
| 290 |
author = {M{\'e}loux, Florian and {CLERC}},
|
| 291 |
+
title = {{CLERC} {\'E}p{\'e}e v0.2: Sign Language Data Layer},
|
| 292 |
year = {2026},
|
| 293 |
+
publisher = {Hugging Face},
|
| 294 |
+
version = {0.2},
|
| 295 |
+
url = {https://huggingface.co/datasets/CLERC-DATA/epee}
|
|
|
|
|
|
|
| 296 |
}
|
| 297 |
```
|
| 298 |
|
|
|
|
| 304 |
|
| 305 |
> Sign language is not to be translated. It is to be inscribed.
|
| 306 |
|
| 307 |
+
**Website:** [clerc.io](https://clerc.io) · **Contact:** florian@clerc.io · **LinkedIn:** [clerc-io](https://linkedin.com/company/clerc-io)
|
|
|
|
|
|
|
|
|
|
| 308 |
|
| 309 |
---
|
| 310 |
|
| 311 |
## Changelog
|
| 312 |
|
| 313 |
+
**v0.2 — June 2026**
|
| 314 |
+
- Added 4th signer (DELTA) and expanded to 600 clips
|
| 315 |
+
- Restructured to 150 fully-parallel phrases × 4 signers (phrase-aligned clip blocks)
|
| 316 |
+
- Same 128 multimodal keypoints/frame and gloss schema as v0.1
|
| 317 |
+
|
| 318 |
**v0.1 — May 2026**
|
| 319 |
+
- Initial public release — 300 clips, 3 signers, parallel structure
|
|
|
|
|
|
|
|
|
annotations/clerc_v02_001.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_001",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "What’s up?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 111,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHAT'S UP",
|
| 11 |
+
"start": 1.0,
|
| 12 |
+
"end": 2.1
|
| 13 |
+
}
|
| 14 |
+
]
|
| 15 |
+
}
|
annotations/clerc_v02_002.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_002",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Do you see?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 158,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "D-O",
|
| 11 |
+
"start": 0.8,
|
| 12 |
+
"end": 1.1
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOU",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 1.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "SEE",
|
| 21 |
+
"start": 1.9,
|
| 22 |
+
"end": 2.3
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "QUESTION",
|
| 26 |
+
"start": 2.6,
|
| 27 |
+
"end": 3.2
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_003.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_003",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you tired?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 114,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.7,
|
| 12 |
+
"end": 1.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "TIRED",
|
| 16 |
+
"start": 1.2,
|
| 17 |
+
"end": 1.9
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.2,
|
| 22 |
+
"end": 2.7
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_004.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_004",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you hungry?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 124,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.5,
|
| 12 |
+
"end": 0.9
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "HUNGRY",
|
| 16 |
+
"start": 1.1,
|
| 17 |
+
"end": 1.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 1.8,
|
| 22 |
+
"end": 2.3
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_005.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_005",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Where do you live?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 142,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHERE",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 1.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "D-O",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 1.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "YOU",
|
| 21 |
+
"start": 1.7,
|
| 22 |
+
"end": 1.9
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "LIVE_2",
|
| 26 |
+
"start": 2.1,
|
| 27 |
+
"end": 2.6
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "QUESTION",
|
| 31 |
+
"start": 2.8,
|
| 32 |
+
"end": 3.5
|
| 33 |
+
}
|
| 34 |
+
]
|
| 35 |
+
}
|
annotations/clerc_v02_006.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_006",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Do you need to help?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 164,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "D-O",
|
| 11 |
+
"start": 0.7,
|
| 12 |
+
"end": 1.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOU",
|
| 16 |
+
"start": 1.1,
|
| 17 |
+
"end": 1.4
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "NEED",
|
| 21 |
+
"start": 1.5,
|
| 22 |
+
"end": 1.9
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "HELP",
|
| 26 |
+
"start": 2.1,
|
| 27 |
+
"end": 3.3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "QUESTION",
|
| 31 |
+
"start": 3.5,
|
| 32 |
+
"end": 4.2
|
| 33 |
+
}
|
| 34 |
+
]
|
| 35 |
+
}
|
annotations/clerc_v02_007.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_007",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "How old are you?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 213,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "HOW",
|
| 11 |
+
"start": 0.7,
|
| 12 |
+
"end": 1.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "OLD",
|
| 16 |
+
"start": 1.2,
|
| 17 |
+
"end": 1.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "YOU",
|
| 21 |
+
"start": 2.1,
|
| 22 |
+
"end": 2.5
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "QUESTION",
|
| 26 |
+
"start": 2.7,
|
| 27 |
+
"end": 3.3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "OLD",
|
| 31 |
+
"start": 3.7,
|
| 32 |
+
"end": 4.6
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"gloss": "YOU",
|
| 36 |
+
"start": 4.8,
|
| 37 |
+
"end": 5.1
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"gloss": "QUESTION",
|
| 41 |
+
"start": 5.3,
|
| 42 |
+
"end": 5.8
|
| 43 |
+
}
|
| 44 |
+
]
|
| 45 |
+
}
|
annotations/clerc_v02_008.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_008",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "How do you feel?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 139,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "HOW",
|
| 11 |
+
"start": 0.7,
|
| 12 |
+
"end": 1.1
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOU",
|
| 16 |
+
"start": 1.4,
|
| 17 |
+
"end": 1.6
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "FEEL",
|
| 21 |
+
"start": 1.9,
|
| 22 |
+
"end": 2.7
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "QUESTION",
|
| 26 |
+
"start": 2.9,
|
| 27 |
+
"end": 3.4
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_009.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_009",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Thank you",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 118,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "THANK YOU",
|
| 11 |
+
"start": 0.9,
|
| 12 |
+
"end": 2.6
|
| 13 |
+
}
|
| 14 |
+
]
|
| 15 |
+
}
|
annotations/clerc_v02_010.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_010",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "I do not understand",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 148,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "I",
|
| 11 |
+
"start": 0.6,
|
| 12 |
+
"end": 1.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "DON'T",
|
| 16 |
+
"start": 1.2,
|
| 17 |
+
"end": 1.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "UNDERSTAND",
|
| 21 |
+
"start": 1.7,
|
| 22 |
+
"end": 3.1
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_011.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_011",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Hello",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 137,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "HELLO",
|
| 11 |
+
"start": 1.1,
|
| 12 |
+
"end": 3.3
|
| 13 |
+
}
|
| 14 |
+
]
|
| 15 |
+
}
|
annotations/clerc_v02_012.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_012",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Nice to meet you",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 173,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "NICE",
|
| 11 |
+
"start": 0.5,
|
| 12 |
+
"end": 1.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "MEET",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 1.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "YOU",
|
| 21 |
+
"start": 1.8,
|
| 22 |
+
"end": 2.3
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "NICE",
|
| 26 |
+
"start": 2.9,
|
| 27 |
+
"end": 3.5
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "MEET",
|
| 31 |
+
"start": 3.7,
|
| 32 |
+
"end": 4.1
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"gloss": "YOU",
|
| 36 |
+
"start": 4.3,
|
| 37 |
+
"end": 4.8
|
| 38 |
+
}
|
| 39 |
+
]
|
| 40 |
+
}
|
annotations/clerc_v02_013.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_013",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Good morning",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 163,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "GOOD",
|
| 11 |
+
"start": 0.6,
|
| 12 |
+
"end": 1.1
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "MORNING",
|
| 16 |
+
"start": 1.4,
|
| 17 |
+
"end": 2.3
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "GOOD",
|
| 21 |
+
"start": 2.8,
|
| 22 |
+
"end": 3.2
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "MORNING",
|
| 26 |
+
"start": 3.5,
|
| 27 |
+
"end": 4.3
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_014.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_014",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Good afternoon",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 161,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "GOOD",
|
| 11 |
+
"start": 0.7,
|
| 12 |
+
"end": 1.1
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "AFTERNOON",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 2.3
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "GOOD",
|
| 21 |
+
"start": 2.9,
|
| 22 |
+
"end": 3.3
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "AFTERNOON",
|
| 26 |
+
"start": 3.6,
|
| 27 |
+
"end": 4.5
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_015.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_015",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Good evening",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 158,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "GOOD",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 0.9
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "EVENING",
|
| 16 |
+
"start": 1.2,
|
| 17 |
+
"end": 2.4
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "GOOD",
|
| 21 |
+
"start": 2.8,
|
| 22 |
+
"end": 3.2
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "EVENING",
|
| 26 |
+
"start": 3.6,
|
| 27 |
+
"end": 4.4
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_016.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_016",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Goodbye",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 115,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "GOOD BYE",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 2.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "GOOD BYE",
|
| 16 |
+
"start": 2.2,
|
| 17 |
+
"end": 3.6
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
annotations/clerc_v02_017.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_017",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "My name is ___",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 225,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "MY",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 0.9
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "NAME",
|
| 16 |
+
"start": 1.2,
|
| 17 |
+
"end": 1.6
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "MY",
|
| 21 |
+
"start": 3.9,
|
| 22 |
+
"end": 4.4
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "NAME",
|
| 26 |
+
"start": 4.7,
|
| 27 |
+
"end": 5.3
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_018.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_018",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "What is your name?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 126,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHAT",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 1.0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOUR",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 1.6
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "NAME",
|
| 21 |
+
"start": 1.8,
|
| 22 |
+
"end": 2.4
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "QUESTION",
|
| 26 |
+
"start": 2.7,
|
| 27 |
+
"end": 3.3
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_019.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_019",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you hurt?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 114,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.9,
|
| 12 |
+
"end": 1.2
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "HURT",
|
| 16 |
+
"start": 1.5,
|
| 17 |
+
"end": 2.7
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.8,
|
| 22 |
+
"end": 3.3
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_020.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_020",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Where are you from?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 172,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHERE",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 0.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOU",
|
| 16 |
+
"start": 0.9,
|
| 17 |
+
"end": 1.2
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "FROM",
|
| 21 |
+
"start": 1.6,
|
| 22 |
+
"end": 2.2
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "WHERE",
|
| 26 |
+
"start": 2.5,
|
| 27 |
+
"end": 3.1
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "YOU",
|
| 31 |
+
"start": 3.3,
|
| 32 |
+
"end": 3.6
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"gloss": "FROM",
|
| 36 |
+
"start": 3.8,
|
| 37 |
+
"end": 4.5
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"gloss": "QUESTION",
|
| 41 |
+
"start": 4.7,
|
| 42 |
+
"end": 5.2
|
| 43 |
+
}
|
| 44 |
+
]
|
| 45 |
+
}
|
annotations/clerc_v02_021.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_021",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you deaf?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 149,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 0.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "DEAF",
|
| 16 |
+
"start": 0.9,
|
| 17 |
+
"end": 1.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 1.7,
|
| 22 |
+
"end": 2.4
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "YOU",
|
| 26 |
+
"start": 2.6,
|
| 27 |
+
"end": 3.0
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "DEAF",
|
| 31 |
+
"start": 3.2,
|
| 32 |
+
"end": 3.8
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"gloss": "QUESTION",
|
| 36 |
+
"start": 4.0,
|
| 37 |
+
"end": 4.5
|
| 38 |
+
}
|
| 39 |
+
]
|
| 40 |
+
}
|
annotations/clerc_v02_022.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_022",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you student?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 122,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 0.8
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "STUDENT",
|
| 16 |
+
"start": 1.2,
|
| 17 |
+
"end": 2.4
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.7,
|
| 22 |
+
"end": 3.5
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_023.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_023",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Who is your teacher ?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 144,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHO",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 1.1
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOUR",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 1.6
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "TEACHER",
|
| 21 |
+
"start": 1.9,
|
| 22 |
+
"end": 3.2
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "QUESTION",
|
| 26 |
+
"start": 3.3,
|
| 27 |
+
"end": 4.3
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_024.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_024",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Do you have backpack?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 131,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.2,
|
| 12 |
+
"end": 0.6
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "HAVE",
|
| 16 |
+
"start": 0.9,
|
| 17 |
+
"end": 1.2
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "BACKPACK",
|
| 21 |
+
"start": 1.4,
|
| 22 |
+
"end": 2.6
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "QUESTION",
|
| 26 |
+
"start": 2.9,
|
| 27 |
+
"end": 3.6
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_025.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_025",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Where is the bathroom",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 167,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHERE",
|
| 11 |
+
"start": 0.5,
|
| 12 |
+
"end": 1.4
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "BATHROOM",
|
| 16 |
+
"start": 1.7,
|
| 17 |
+
"end": 2.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "WHERE",
|
| 21 |
+
"start": 2.9,
|
| 22 |
+
"end": 3.6
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "BATHROOM",
|
| 26 |
+
"start": 3.9,
|
| 27 |
+
"end": 4.4
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_026.json
ADDED
|
@@ -0,0 +1,25 @@
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| 1 |
+
{
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| 2 |
+
"clip_id": "clerc_v02_026",
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| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
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| 5 |
+
"text_en": "Are you crying?",
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| 6 |
+
"fps": 30.0,
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| 7 |
+
"n_frames": 112,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
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| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 0.8
|
| 13 |
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},
|
| 14 |
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{
|
| 15 |
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"gloss": "CRY",
|
| 16 |
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"start": 1.0,
|
| 17 |
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"end": 2.4
|
| 18 |
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},
|
| 19 |
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{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
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"start": 2.5,
|
| 22 |
+
"end": 3.2
|
| 23 |
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}
|
| 24 |
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]
|
| 25 |
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}
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annotations/clerc_v02_027.json
ADDED
|
@@ -0,0 +1,30 @@
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| 1 |
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{
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| 2 |
+
"clip_id": "clerc_v02_027",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
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| 5 |
+
"text_en": "How are you?",
|
| 6 |
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"fps": 30.0,
|
| 7 |
+
"n_frames": 112,
|
| 8 |
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"segments": [
|
| 9 |
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{
|
| 10 |
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"gloss": "HOW_RIGHT_MOVE",
|
| 11 |
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"start": 0.7,
|
| 12 |
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"end": 1.1
|
| 13 |
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},
|
| 14 |
+
{
|
| 15 |
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"gloss": "YOU",
|
| 16 |
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"start": 1.2,
|
| 17 |
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"end": 1.7
|
| 18 |
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},
|
| 19 |
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{
|
| 20 |
+
"gloss": "HOW",
|
| 21 |
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"start": 2.2,
|
| 22 |
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"end": 2.4
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "YOU",
|
| 26 |
+
"start": 2.5,
|
| 27 |
+
"end": 3.1
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_028.json
ADDED
|
@@ -0,0 +1,25 @@
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| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_028",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you cold?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 113,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.9,
|
| 12 |
+
"end": 1.1
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "COLD",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 2.5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.7,
|
| 22 |
+
"end": 3.3
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_029.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_029",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you finished?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 137,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 0.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "FINISH",
|
| 16 |
+
"start": 0.9,
|
| 17 |
+
"end": 1.4
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 1.5,
|
| 22 |
+
"end": 2.4
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "YOU",
|
| 26 |
+
"start": 2.6,
|
| 27 |
+
"end": 2.9
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "FINISH",
|
| 31 |
+
"start": 3.1,
|
| 32 |
+
"end": 3.5
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"gloss": "QUESTION",
|
| 36 |
+
"start": 3.6,
|
| 37 |
+
"end": 4.3
|
| 38 |
+
}
|
| 39 |
+
]
|
| 40 |
+
}
|
annotations/clerc_v02_030.json
ADDED
|
@@ -0,0 +1,50 @@
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|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_030",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Where is your bottle?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 214,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHERE",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 0.9
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOUR",
|
| 16 |
+
"start": 1.0,
|
| 17 |
+
"end": 1.3
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "BOTTLE",
|
| 21 |
+
"start": 1.5,
|
| 22 |
+
"end": 2.5
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "BOTTLE",
|
| 26 |
+
"start": 2.7,
|
| 27 |
+
"end": 3.5
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "WHERE",
|
| 31 |
+
"start": 3.8,
|
| 32 |
+
"end": 4.2
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"gloss": "YOUR",
|
| 36 |
+
"start": 4.4,
|
| 37 |
+
"end": 4.6
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"gloss": "BOTTLE",
|
| 41 |
+
"start": 5.0,
|
| 42 |
+
"end": 5.7
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"gloss": "QUESTION",
|
| 46 |
+
"start": 5.9,
|
| 47 |
+
"end": 6.4
|
| 48 |
+
}
|
| 49 |
+
]
|
| 50 |
+
}
|
annotations/clerc_v02_031.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_031",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Where is your banana?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 152,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHERE",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 0.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOUR",
|
| 16 |
+
"start": 0.9,
|
| 17 |
+
"end": 1.3
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "BANANA",
|
| 21 |
+
"start": 1.7,
|
| 22 |
+
"end": 3.4
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "QUESTION",
|
| 26 |
+
"start": 3.5,
|
| 27 |
+
"end": 4.3
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
annotations/clerc_v02_032.json
ADDED
|
@@ -0,0 +1,25 @@
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|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_032",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "What time is it?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 117,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHAT",
|
| 11 |
+
"start": 0.2,
|
| 12 |
+
"end": 0.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "TIME",
|
| 16 |
+
"start": 1.0,
|
| 17 |
+
"end": 2.1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.3,
|
| 22 |
+
"end": 3.1
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_033.json
ADDED
|
@@ -0,0 +1,35 @@
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|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_033",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "What happened?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 128,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "DO",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 0.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "HAPPEN",
|
| 16 |
+
"start": 0.8,
|
| 17 |
+
"end": 1.2
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "DO",
|
| 21 |
+
"start": 1.5,
|
| 22 |
+
"end": 1.9
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "HAPPEN",
|
| 26 |
+
"start": 2.0,
|
| 27 |
+
"end": 2.4
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "QUESTION",
|
| 31 |
+
"start": 2.6,
|
| 32 |
+
"end": 3.2
|
| 33 |
+
}
|
| 34 |
+
]
|
| 35 |
+
}
|
annotations/clerc_v02_034.json
ADDED
|
@@ -0,0 +1,25 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_034",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you happy?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 90,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 0.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "HAPPY",
|
| 16 |
+
"start": 1.0,
|
| 17 |
+
"end": 1.7
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 1.8,
|
| 22 |
+
"end": 2.6
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_035.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_035",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
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"text_en": "Where are you go?",
|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
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"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHERE",
|
| 11 |
+
"start": 0.4,
|
| 12 |
+
"end": 1.1
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "GO",
|
| 16 |
+
"start": 1.3,
|
| 17 |
+
"end": 1.8
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "WHERE",
|
| 21 |
+
"start": 2.0,
|
| 22 |
+
"end": 2.5
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"gloss": "GO",
|
| 26 |
+
"start": 2.7,
|
| 27 |
+
"end": 3.2
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"gloss": "QUESTION",
|
| 31 |
+
"start": 3.4,
|
| 32 |
+
"end": 4.2
|
| 33 |
+
}
|
| 34 |
+
]
|
| 35 |
+
}
|
annotations/clerc_v02_036.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_036",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Why?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 124,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHY",
|
| 11 |
+
"start": 0.5,
|
| 12 |
+
"end": 1.3
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "WHY",
|
| 16 |
+
"start": 2.1,
|
| 17 |
+
"end": 3.1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 3.4,
|
| 22 |
+
"end": 4.0
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_037.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_037",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "How?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 97,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "HOW",
|
| 11 |
+
"start": 0.1,
|
| 12 |
+
"end": 1.8
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "QUESTION",
|
| 16 |
+
"start": 1.9,
|
| 17 |
+
"end": 2.7
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
annotations/clerc_v02_038.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_038",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "When?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 119,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHEN",
|
| 11 |
+
"start": 0.1,
|
| 12 |
+
"end": 1.4
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "WHEN",
|
| 16 |
+
"start": 1.8,
|
| 17 |
+
"end": 2.5
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
annotations/clerc_v02_039.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_039",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Are you alright?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 108,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "YOU",
|
| 11 |
+
"start": 0.1,
|
| 12 |
+
"end": 0.6
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "ALRIGHT",
|
| 16 |
+
"start": 1.0,
|
| 17 |
+
"end": 1.9
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.1,
|
| 22 |
+
"end": 2.9
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_040.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_040",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "See you later",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 90,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "SEE",
|
| 11 |
+
"start": 0.2,
|
| 12 |
+
"end": 0.9
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "YOU",
|
| 16 |
+
"start": 1.0,
|
| 17 |
+
"end": 1.3
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "LATER",
|
| 21 |
+
"start": 1.4,
|
| 22 |
+
"end": 2.0
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_041.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_041",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Who?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 84,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHO",
|
| 11 |
+
"start": 0.0,
|
| 12 |
+
"end": 1.9
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "QUESTION",
|
| 16 |
+
"start": 2.0,
|
| 17 |
+
"end": 2.6
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
annotations/clerc_v02_042.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_042",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Which?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 80,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHICH",
|
| 11 |
+
"start": 0.0,
|
| 12 |
+
"end": 1.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "QUESTION",
|
| 16 |
+
"start": 2.0,
|
| 17 |
+
"end": 2.6
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
annotations/clerc_v02_043.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_043",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Where?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 69,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHERE",
|
| 11 |
+
"start": 0.1,
|
| 12 |
+
"end": 1.3
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "QUESTION",
|
| 16 |
+
"start": 1.5,
|
| 17 |
+
"end": 2.2
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
annotations/clerc_v02_044.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_044",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "What?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 112,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "WHAT_2",
|
| 11 |
+
"start": 0.1,
|
| 12 |
+
"end": 1.3
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "WHAT_2",
|
| 16 |
+
"start": 1.5,
|
| 17 |
+
"end": 2.3
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.6,
|
| 22 |
+
"end": 3.1
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_045.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_045",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Any help?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 116,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "ANY",
|
| 11 |
+
"start": 0.2,
|
| 12 |
+
"end": 1.2
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "HELP",
|
| 16 |
+
"start": 1.4,
|
| 17 |
+
"end": 2.1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 2.2,
|
| 22 |
+
"end": 3.1
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|
annotations/clerc_v02_046.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_046",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "No problem",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 96,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "NO",
|
| 11 |
+
"start": 0.1,
|
| 12 |
+
"end": 0.8
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "PROBLEM",
|
| 16 |
+
"start": 1.1,
|
| 17 |
+
"end": 2.3
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
}
|
annotations/clerc_v02_047.json
ADDED
|
@@ -0,0 +1,25 @@
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|
| 1 |
+
{
|
| 2 |
+
"clip_id": "clerc_v02_047",
|
| 3 |
+
"signer_id": "ALPHA",
|
| 4 |
+
"sign_language": "ASL",
|
| 5 |
+
"text_en": "Really?",
|
| 6 |
+
"fps": 30.0,
|
| 7 |
+
"n_frames": 124,
|
| 8 |
+
"segments": [
|
| 9 |
+
{
|
| 10 |
+
"gloss": "REALLY?",
|
| 11 |
+
"start": 0.3,
|
| 12 |
+
"end": 1.7
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"gloss": "REALLY?",
|
| 16 |
+
"start": 1.8,
|
| 17 |
+
"end": 2.9
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"gloss": "QUESTION",
|
| 21 |
+
"start": 3.1,
|
| 22 |
+
"end": 3.4
|
| 23 |
+
}
|
| 24 |
+
]
|
| 25 |
+
}
|