query stringclasses 30
values | image imagewidth (px) 64 64 | annot stringclasses 5
values | reasoning null | cate stringclasses 1
value | task stringclasses 1
value | metadata stringlengths 627 643 |
|---|---|---|---|---|---|---|
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.6, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.54, "0.25x": 4.41, "0.8333x": 6.18, "1x": 4.6, "2x": 3.04, "3x": 1.79}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 2... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 17.86, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.35, "0.25x": 4.2, "0.8333x": 8.31, "1x": 5.79, "2x": 2.98, "3x": 1.82}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.03, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.72, "0.25x": 3.23, "0.8333x": 8.31, "1x": 6.59, "2x": 2.75, "3x": 2.49}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.25, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.31, "0.25x": 5.05, "0.8333x": 6.2, "1x": 4.72, "2x": 2.97, "3x": 2.39}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.85, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.75, "0.25x": 4.65, "0.8333x": 7.19, "1x": 4.6, "2x": 3.03, "3x": 2.78}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.01, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.03, "0.25x": 3.12, "0.8333x": 8.98, "1x": 4.47, "2x": 1.63, "3x": 1.24}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.91, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.34, "0.25x": 5.76, "0.8333x": 7.15, "1x": 6.24, "2x": 1.62, "3x": 2.35}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.13, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.4, "0.25x": 3.87, "0.8333x": 7.73, "1x": 4.28, "2x": 2.98, "3x": 1.44}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 19.45, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.99, "0.25x": 5.35, "0.8333x": 6.11, "1x": 5.82, "2x": 2.76, "3x": 2.91}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 21.99, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 9.05, "0.25x": 6.18, "0.8333x": 6.76, "1x": 4.5, "2x": 1.49, "3x": 2.69}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 16.74, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.36, "0.25x": 5.15, "0.8333x": 6.22, "1x": 4.38, "2x": 3.32, "3x": 2.42}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... |
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