remove touchandgo: uses ORIGINAL GelSight (white illumination, 640x480 flat-channel R~G~B~137) not Mini. Verified via channel-mean signature mismatch with all other Mini sources (B>G>R with 30+ grey-level spread). Document reason in SOURCES.md 'Investigated but not included'. Bumps real total from 748,024 to 745,958 frames.
Browse files- README.md +0 -5
- SOURCES.md +12 -45
- assets/samples_40_touchandgo.png +0 -3
- touchandgo/train-00000-of-00001.parquet +0 -3
README.md
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@@ -88,10 +88,6 @@ configs:
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path: tacquad/data_outdoor-*.parquet
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- split: data_fine
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path: tacquad/data_fine-*.parquet
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- config_name: touchandgo
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data_files:
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- split: train
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path: touchandgo/train-*.parquet
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- config_name: tvl
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data_files:
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- split: train
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| `sim_starstruck` | **SIM** · Taxim-rendered Mini imagery of star objects | **166,104** (150K train + 16K test; raw upstream + stride=3 + I_min=10) | markerless | episode |
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| `unit` | UniT continuous 3D-pose tracking | **11,340** | markerless | 3D-pose target (x,y,z,yaw) |
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| `tacquad` | TacQuad quad-sensor benchmark (Mini stream) | **12,195** (5K indoor + 4K outdoor + 3K fine, 181 objects) | markerless | object name + environment |
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| `touchandgo` | Touch-and-Go in-the-wild paired touch+RGB | **2,066** (8 sessions ingested; gdown rate-limited at ~9/many) | markerless | session id + paired RGB scene (RGB not stored) |
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| `tvl` | TVL Touch-Vision-Language paired tactile+RGB+caption | **209,795** (HCT + SSVTP subsets; multi-resolution: 640×480 + 320×240) | markerless | session id + paired RGB + GPT-4V caption (RGB+text not stored) |
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¹ FoTA used **different gels on the two gripper fingers** for many of its captures. Approximately 36 of 124 captures use a markered gel on the right finger and a markerless gel on the left; the remaining 88 captures use markerless gels on both. The per-row `markered` column was set by averaging ~50 frames per capture and counting visible dark dots in the mean image (threshold ≥10 dots). Use it to filter:
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path: tacquad/data_outdoor-*.parquet
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- split: data_fine
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path: tacquad/data_fine-*.parquet
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- config_name: tvl
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data_files:
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- split: train
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| `sim_starstruck` | **SIM** · Taxim-rendered Mini imagery of star objects | **166,104** (150K train + 16K test; raw upstream + stride=3 + I_min=10) | markerless | episode |
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| `unit` | UniT continuous 3D-pose tracking | **11,340** | markerless | 3D-pose target (x,y,z,yaw) |
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| `tacquad` | TacQuad quad-sensor benchmark (Mini stream) | **12,195** (5K indoor + 4K outdoor + 3K fine, 181 objects) | markerless | object name + environment |
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| `tvl` | TVL Touch-Vision-Language paired tactile+RGB+caption | **209,795** (HCT + SSVTP subsets; multi-resolution: 640×480 + 320×240) | markerless | session id + paired RGB + GPT-4V caption (RGB+text not stored) |
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¹ FoTA used **different gels on the two gripper fingers** for many of its captures. Approximately 36 of 124 captures use a markered gel on the right finger and a markerless gel on the left; the remaining 88 captures use markerless gels on both. The per-row `markered` column was set by averaging ~50 frames per capture and counting visible dark dots in the mean image (threshold ≥10 dots). Use it to filter:
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SOURCES.md
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---
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## 12 ·
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**Intro.** Touch-and-Go (Yang et al., NeurIPS 2022) is a multimodal
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dataset of human data collectors probing objects in natural environments
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with a GelSight Mini tactile sensor while recording egocentric RGB
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video. Each session has `gelsight.mp4` (tactile) + `video.mp4` (RGB
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scene). We ingest **only the tactile video stream**, decoding gelsight
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frames at stride-5 and applying the contact filter.
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**Source release.**
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- 🔗 [GitHub project page](https://github.com/fredfyyang/Touch-and-Go)
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- 🔗 Hosted on Google Drive (~5 GB across 250+ sessions, rate-limited)
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- 📜 License: CC-BY-4.0
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**Original format.** One folder per session under
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`touch_and_go/dataset/<session>/`, with `gelsight.mp4`, `video.mp4`,
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`time1.npy`, `time2.npy`.
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**How we processed it.** Decoded `gelsight.mp4` with imageio+ffmpeg at
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stride-5 (every 5th frame), applied unified contact filter (I_min=12,
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A_min=40, 1.5% bg), channel-order auto-normalized. Initial batch was
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limited by Google Drive's anti-abuse rate-limiting: gdown succeeded on
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8 / 250+ sessions before hitting the per-folder access cap. We have a
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retry loop running in the background that will incrementally pull more
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sessions; the parquet on HF will be re-pushed as additional sessions
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become available.
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**Stats after processing (initial batch).**
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| Subset | Frames | Resolution | Markered / Markerless | Splits |
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|--------------|-------:|------------|----------------------:|--------|
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| `touchandgo` | 2,066 | 240 × 320 | 0 / 2,066 | train 2,066 |
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**40 random samples:**
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---
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## 13 · TVL — Touch-Vision-Language paired tactile + RGB + caption (`tvl`)
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**Intro.** TVL (Fu et al., ICML 2024) is a multimodal alignment dataset
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with ~44K paired vision-touch examples plus English captions (10%
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[`yxma/gelsight-mini-pretrain-nc`](https://huggingface.co/datasets/yxma/gelsight-mini-pretrain-nc),
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where it is now superseded by `sparsh` — the same data at a larger
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upstream snapshot.)
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- **
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- **Touch and Go** (Yang et al. 2022) — has paired natural-scene RGB.
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Not yet ingested. CC-BY-4.0; ~13K Mini frames available.
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- **YCB-Sight** — CC-BY-SA-4.0 (viral copyleft), and the sim is not
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| `tacquad` | real | 12,195 | 0.11 | 320 × 240 | 0 | 12,195 |
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| `sim_tactile_mnist` | sim | 150,601 | 1.28 | 320 × 240 | 0 | 150,601 |
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| `sim_starstruck` | sim | 166,104 | 1.39 | 320 × 240 | 0 | 166,104 |
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| `touchandgo` | real | 2,066 | 0.07 | 240 × 320 | 0 | 2,066 |
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| `tvl` | real | 209,795 | 7.90 | mixed¹ | 0 | 209,795 |
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| **Real total** | | **
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| **Sim total** | | **316,705** | **~2.67** | | **0** | **316,705** |
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| **Grand total** | | **1,
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---
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## 12 · TVL — Touch-Vision-Language paired tactile + RGB + caption (`tvl`)
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**Intro.** TVL (Fu et al., ICML 2024) is a multimodal alignment dataset
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with ~44K paired vision-touch examples plus English captions (10%
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[`yxma/gelsight-mini-pretrain-nc`](https://huggingface.co/datasets/yxma/gelsight-mini-pretrain-nc),
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where it is now superseded by `sparsh` — the same data at a larger
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upstream snapshot.)
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- **Touch-and-Go** (Yang et al., NeurIPS 2022, [GitHub](https://github.com/fredfyyang/Touch-and-Go)) —
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**uses a different GelSight model, not the Mini.** The dataset's
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`gelsight.mp4` clips show 640×480 frames with white-light illumination
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(channel means R/G/B ≈ 137/135/140, flat ~grey) — completely
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different from the Mini's 3-colored-LED signature (Mini at-rest has
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B > G > R with ~30 grey-level spread). We initially ingested 2,066
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frames before noticing the channel-signature mismatch and verifying
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against the paper. Removed from this aggregate; could go to a
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separate "gelsight-large-pretrain" repo if needed.
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- **Touch and Go** (Yang et al. 2022) — has paired natural-scene RGB.
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Not yet ingested. CC-BY-4.0; ~13K Mini frames available.
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- **YCB-Sight** — CC-BY-SA-4.0 (viral copyleft), and the sim is not
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| `tacquad` | real | 12,195 | 0.11 | 320 × 240 | 0 | 12,195 |
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| `sim_tactile_mnist` | sim | 150,601 | 1.28 | 320 × 240 | 0 | 150,601 |
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| `sim_starstruck` | sim | 166,104 | 1.39 | 320 × 240 | 0 | 166,104 |
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| `tvl` | real | 209,795 | 7.90 | mixed¹ | 0 | 209,795 |
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| **Real total** | | **745,958** | **~13.3** | | **63,586** | **682,372** |
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| **Sim total** | | **316,705** | **~2.67** | | **0** | **316,705** |
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| **Grand total** | | **1,062,663** | **~16.0** | | **63,586** | **999,077** |
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assets/samples_40_touchandgo.png
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touchandgo/train-00000-of-00001.parquet
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