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Add public manifest and dataset docs

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  1. DATA_DICTIONARY.md +107 -0
  2. PARQUET_VALIDATION.md +30 -0
  3. README.md +155 -12
  4. manifest.csv +0 -0
  5. manifest.parquet +3 -0
DATA_DICTIONARY.md ADDED
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1
+ # Data Dictionary
2
+
3
+ ## Files
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+
5
+ | Path | Purpose |
6
+ |---|---|
7
+ | `README.md` | Dataset card and quickstart. |
8
+ | `manifest.csv` | Human-readable experiment index. |
9
+ | `manifest.parquet` | Parquet copy of the experiment index. |
10
+ | `data/<config>/<public_experiment_id>.parquet` | Long-format time-series rows for one experiment. |
11
+ | `PARQUET_VALIDATION.md` | Validation summary for the published Parquet files. |
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+
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+ ## Time-Series Parquet Schema
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+
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+ Every experiment Parquet file has the same five columns:
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+
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+ | Column | Type | Description |
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+ |---|---|---|
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+ | `time_ns` | `int64` | Timestamp in nanoseconds from the recorded time base. |
20
+ | `time_utc` | `timestamp[ns, tz=UTC]` | UTC timestamp. |
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+ | `experiment` | `string` | Experiment identifier stored with the rows. |
22
+ | `field` | `string` | Signal name, such as `elbow_q` or `right_knee/actual_q`. |
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+ | `value` | `double` | Numeric measurement value. |
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+
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+ The data is long format: each timestamp and signal appears as a row. To work in a conventional table shape, pivot by `field`.
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+
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+ ## Manifest Columns
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+
29
+ | Column | Description |
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+ |---|---|
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+ | `public_experiment_id` | Public experiment ID used for filenames and examples. |
32
+ | `hf_config` | Hugging Face config and subfolder containing the experiment Parquet. |
33
+ | `hf_relative_path` | Relative path to the experiment Parquet inside the dataset repo. |
34
+ | `robot` | Robot family, such as `h1` or `g1`. |
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+ | `platform` | Collection platform or source category. |
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+ | `experiment_group` | High-level group, such as `single_joint`, `multijoint`, or `single_joint_sysid`. |
37
+ | `joint_group` | Joint grouping, such as arm, leg, or elbow teststand context. |
38
+ | `joint` | Specific joint or multi-joint grouping. |
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+ | `motion_type` | Motion/program type parsed from the experiment name. |
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+ | `pose` | Pose label when encoded in the experiment name. |
41
+ | `trial` | Trial number when encoded in the experiment name. |
42
+ | `position` | Position label for teststand/sysid runs when available. |
43
+ | `frequency_hz` | Frequency value parsed from the experiment name when available. |
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+ | `amplitude` | Amplitude value parsed from the experiment name when available. |
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+ | `recorded_at_from_name_utc` | UTC timestamp parsed from the experiment name when available. |
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+ | `min_time_utc` | Earliest timestamp in the experiment Parquet. |
47
+ | `max_time_utc` | Latest timestamp in the experiment Parquet. |
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+ | `row_count` | Number of rows in the experiment Parquet. |
49
+ | `field_count` | Number of distinct signal fields in the experiment Parquet. |
50
+ | `parquet_size_bytes` | Size of the experiment Parquet file in bytes. |
51
+ | `has_current` | Whether the experiment includes a current signal. |
52
+ | `has_voltage` | Whether the experiment includes a voltage signal. |
53
+ | `field_names` | Comma-separated list of signal fields in the experiment Parquet. |
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+ | `release_status` | Release readiness label, such as `ready` or `partial_electrical`. |
55
+ | `quality_notes` | Data-quality notes for the experiment. |
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+
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+ ## Configs
58
+
59
+ | Config | Files | Rows | Notes |
60
+ |---|---:|---:|---|
61
+ | `h1_single_joint` | 79 | 38,992,000 | H1 actual robot single-joint experiments. |
62
+ | `h1_multijoint` | 98 | 35,856,000 | H1 actual robot multijoint experiments. |
63
+ | `h1_elbow_teststand` | 156 | 27,660,000 | H1 elbow teststand experiments. |
64
+ | `g1_leg_single_joint` | 126 | 74,339,640 | G1 leg single-joint experiments. |
65
+ | `g1_leg_multijoint` | 15 | 9,353,880 | G1 leg multijoint experiments. |
66
+ | `g1_arm_single_joint` | 84 | 34,414,560 | G1 arm single-joint experiments. |
67
+ | `g1_arm_multijoint` | 15 | 6,062,832 | G1 arm multijoint experiments. |
68
+
69
+ ## Field Naming Notes
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+
71
+ H1 actual robot files use fields such as:
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+
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+ ```text
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+ elbow_q, elbow_dq, elbow_tau, elbow_temp
75
+ shoulder_pitch_q, shoulder_pitch_dq, shoulder_pitch_tau, shoulder_pitch_temp
76
+ shoulder_raise_q, shoulder_raise_dq, shoulder_raise_tau, shoulder_raise_temp
77
+ shoulder_yaw_q, shoulder_yaw_dq, shoulder_yaw_tau, shoulder_yaw_temp
78
+ ```
79
+
80
+ H1 elbow teststand files use:
81
+
82
+ ```text
83
+ elbow_q, elbow_dq, elbow_tau, elbow_temp
84
+ elbow_current, elbow_voltage
85
+ ```
86
+
87
+ Seven H1 elbow teststand files are marked `partial_electrical` and include only:
88
+
89
+ ```text
90
+ elbow_q, elbow_dq, elbow_tau, elbow_temp
91
+ ```
92
+
93
+ G1 arm and leg files use slash-separated joint/signal names:
94
+
95
+ ```text
96
+ right_elbow/actual_q
97
+ right_elbow/command_q
98
+ right_elbow/dq
99
+ right_elbow/ddq
100
+ right_elbow/position_error
101
+ right_elbow/tau_est
102
+ right_elbow/temperature_0
103
+ right_elbow/temperature_1
104
+ right_elbow/voltage
105
+ ```
106
+
107
+ The same signal suffix pattern is used across the relevant G1 joints in each arm or leg config.
PARQUET_VALIDATION.md ADDED
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+ # Parquet Validation Summary
2
+
3
+ Validated locally before upload on 2026-06-05 PDT.
4
+
5
+ ## Result
6
+
7
+ - Manifest rows: 573
8
+ - Parquet files under `data/`: 573
9
+ - Files opened and read: 573
10
+ - Missing files: 0
11
+ - Extra files: 0
12
+ - Empty files: 0
13
+ - Total rows in manifest: 226,678,912
14
+ - Total rows read from Parquet: 226,678,912
15
+ - Total Parquet bytes in manifest: 1,857,492,979
16
+ - Null cells in required columns: 0
17
+ - NaN measurement values: 0
18
+ - Infinite measurement values: 0
19
+ - Schema mismatches: 0
20
+ - Row-count mismatches: 0
21
+ - Field-name mismatches: 0
22
+
23
+ Overall result: pass.
24
+
25
+ ## Release Status
26
+
27
+ - `ready`: 566 files
28
+ - `partial_electrical`: 7 files
29
+
30
+ The `partial_electrical` files are H1 elbow teststand experiments that have position/velocity/torque/temperature fields but do not include current and voltage. They are marked explicitly in the manifest.
README.md CHANGED
@@ -3,25 +3,168 @@ license: apache-2.0
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  tags:
4
  - robotics
5
  - sim-to-real
 
6
  - h1
7
  - g1
8
  - unitree
9
- - RL
10
  - isaaclab
11
  - newton
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
 
14
- These datasets were captured from Anchor Lab, a sim-to-real transfer laboratory from Nvidia Robotics.
15
 
16
- This dataset is used to calibrate simulation against physical measurements for zero-shot sim-to-real deployment.
17
 
 
18
 
19
- Contributors:
20
- * Elena Shrestha <eshrestha@nvidia.com>
21
- * Vignesh Bhavananthan <vbhavanantha@nvidia.com>
22
- * Vidur Vij <vidurv@nvidia.com>
23
- * Alex Omar <aomar@nvidia.com>
24
- * Andrew Wrenn <awrenn@nvidia.com>
25
- * Justin Shrake <jshrake@nvidia.com>
26
- * Michael Clive <mclive@nvidia.com>
27
- * Hong Wang <hongw@nvidia.com>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  tags:
4
  - robotics
5
  - sim-to-real
6
+ - system-identification
7
  - h1
8
  - g1
9
  - unitree
 
10
  - isaaclab
11
  - newton
12
+ configs:
13
+ - config_name: manifest
14
+ data_files: manifest.parquet
15
+ default: true
16
+ - config_name: h1_single_joint
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+ data_files: data/h1_single_joint/*.parquet
18
+ default: false
19
+ - config_name: h1_multijoint
20
+ data_files: data/h1_multijoint/*.parquet
21
+ default: false
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+ - config_name: h1_elbow_teststand
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+ data_files: data/h1_elbow_teststand/*.parquet
24
+ default: false
25
+ - config_name: g1_leg_single_joint
26
+ data_files: data/g1_leg_single_joint/*.parquet
27
+ default: false
28
+ - config_name: g1_leg_multijoint
29
+ data_files: data/g1_leg_multijoint/*.parquet
30
+ default: false
31
+ - config_name: g1_arm_single_joint
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+ data_files: data/g1_arm_single_joint/*.parquet
33
+ default: false
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+ - config_name: g1_arm_multijoint
35
+ data_files: data/g1_arm_multijoint/*.parquet
36
+ default: false
37
  ---
38
 
39
+ # Anchor Lab Robot System Identification Dataset
40
 
41
+ These datasets were captured from Anchor Lab, a sim-to-real transfer laboratory from NVIDIA Robotics.
42
 
43
+ This dataset is used to calibrate simulation against physical measurements for zero-shot sim-to-real deployment. It contains H1 and G1 robot system-identification time-series experiments in Parquet format.
44
 
45
+ ## Start Here
46
+
47
+ Start with the default `manifest` config. It has one row per experiment and tells you which Parquet file to open.
48
+
49
+ Each experiment Parquet file uses long-format time-series rows:
50
+
51
+ ```text
52
+ time_ns, time_utc, experiment, field, value
53
+ ```
54
+
55
+ The experiment files are stored under:
56
+
57
+ ```text
58
+ data/<config>/<public_experiment_id>.parquet
59
+ ```
60
+
61
+ ## Quickstart
62
+
63
+ ```python
64
+ from huggingface_hub import hf_hub_download
65
+ import pandas as pd
66
+
67
+ repo_id = "nvidia/Anchor-Lab"
68
+
69
+ manifest_path = hf_hub_download(
70
+ repo_id=repo_id,
71
+ repo_type="dataset",
72
+ filename="manifest.csv",
73
+ )
74
+ manifest = pd.read_csv(manifest_path)
75
+
76
+ # Example: H1 elbow teststand experiments with current and voltage.
77
+ subset = manifest[
78
+ (manifest["hf_config"] == "h1_elbow_teststand")
79
+ & (manifest["has_current"])
80
+ & (manifest["has_voltage"])
81
+ & (manifest["release_status"] == "ready")
82
+ ]
83
+
84
+ row = subset.iloc[0]
85
+ parquet_path = hf_hub_download(
86
+ repo_id=repo_id,
87
+ repo_type="dataset",
88
+ filename=row["hf_relative_path"],
89
+ )
90
+
91
+ df = pd.read_parquet(parquet_path)
92
+ print(row["public_experiment_id"])
93
+ print(df.head())
94
+ ```
95
+
96
+ Plot one signal:
97
+
98
+ ```python
99
+ import matplotlib.pyplot as plt
100
+
101
+ signal = df[df["field"] == "elbow_q"].sort_values("time_ns")
102
+ plt.plot(signal["time_utc"], signal["value"])
103
+ plt.xlabel("time")
104
+ plt.ylabel("elbow_q")
105
+ plt.show()
106
+ ```
107
+
108
+ Convert one long-format experiment to wide format:
109
+
110
+ ```python
111
+ wide = (
112
+ df.pivot_table(
113
+ index=["time_ns", "time_utc", "experiment"],
114
+ columns="field",
115
+ values="value",
116
+ aggfunc="first",
117
+ )
118
+ .reset_index()
119
+ )
120
+ ```
121
+
122
+ ## Configs
123
+
124
+ | Config | Experiments | Description |
125
+ |---|---:|---|
126
+ | `manifest` | 573 | One row per experiment. Use this first. |
127
+ | `h1_single_joint` | 79 | H1 actual robot single-joint experiments. |
128
+ | `h1_multijoint` | 98 | H1 actual robot multijoint experiments. |
129
+ | `h1_elbow_teststand` | 156 | H1 elbow teststand experiments. |
130
+ | `g1_leg_single_joint` | 126 | G1 leg single-joint experiments. |
131
+ | `g1_leg_multijoint` | 15 | G1 leg multijoint experiments. |
132
+ | `g1_arm_single_joint` | 84 | G1 arm single-joint experiments. |
133
+ | `g1_arm_multijoint` | 15 | G1 arm multijoint experiments. |
134
+
135
+ ## Common Filters
136
+
137
+ ```python
138
+ # All G1 leg single-joint experiments.
139
+ manifest[(manifest["robot"] == "g1") & (manifest["hf_config"] == "g1_leg_single_joint")]
140
+
141
+ # H1 teststand experiments with electrical measurements.
142
+ manifest[
143
+ (manifest["hf_config"] == "h1_elbow_teststand")
144
+ & (manifest["has_current"])
145
+ & (manifest["has_voltage"])
146
+ ]
147
+
148
+ # Experiments marked ready.
149
+ manifest[manifest["release_status"] == "ready"]
150
+ ```
151
+
152
+ ## Data Notes
153
+
154
+ - 573 Parquet files are included.
155
+ - All files use the same long-format schema: `time_ns`, `time_utc`, `experiment`, `field`, `value`.
156
+ - 566 experiments are marked `ready`.
157
+ - 7 H1 elbow teststand experiments are marked `partial_electrical`; they contain valid mechanical fields but do not include current/voltage.
158
+ - See `DATA_DICTIONARY.md` for manifest column descriptions and signal naming notes.
159
+ - See `PARQUET_VALIDATION.md` for the local validation summary.
160
+
161
+ ## Contributors
162
+
163
+ * Elena Shrestha `<eshrestha@nvidia.com>`
164
+ * Vignesh Bhavananthan `<vbhavanantha@nvidia.com>`
165
+ * Vidur Vij `<vidurv@nvidia.com>`
166
+ * Alex Omar `<aomar@nvidia.com>`
167
+ * Andrew Wrenn `<awrenn@nvidia.com>`
168
+ * Justin Shrake `<jshrake@nvidia.com>`
169
+ * Michael Clive `<mclive@nvidia.com>`
170
+ * Hong Wang `<hongw@nvidia.com>`
manifest.csv ADDED
The diff for this file is too large to render. See raw diff
 
manifest.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:8098251ab9b2e17788f9adc70226a1fecb659684008e437974fa62fb92f1fcc6
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+ size 56808