Add GitHub ML run 20260928T033811000000Z-1dd245b5
Browse files
coverage/20260928T033811000000Z-1dd245b5.json
ADDED
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@@ -0,0 +1,1305 @@
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|
| 1 |
+
{
|
| 2 |
+
"band_complete": false,
|
| 3 |
+
"complete_sweep": false,
|
| 4 |
+
"date_field": "created",
|
| 5 |
+
"end": "2026-09-28",
|
| 6 |
+
"limitations": [
|
| 7 |
+
"GitHub Search coverage gaps are recorded per query and date partition.",
|
| 8 |
+
"Search results do not establish that the discovered repositories are ML projects."
|
| 9 |
+
],
|
| 10 |
+
"mode": "star-crawl",
|
| 11 |
+
"queries": [
|
| 12 |
+
{
|
| 13 |
+
"coverage_gap": false,
|
| 14 |
+
"coverage_gap_reason": null,
|
| 15 |
+
"incomplete_results": false,
|
| 16 |
+
"pages_scanned": 1,
|
| 17 |
+
"query": "\"species distribution modeling\" in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 18 |
+
"query_id": "applied.species-distribution-modeling",
|
| 19 |
+
"range_end": "2026-09-28",
|
| 20 |
+
"range_start": "2008-01-01",
|
| 21 |
+
"search_limit_reached": false,
|
| 22 |
+
"status": "complete",
|
| 23 |
+
"total_count": 0
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"coverage_gap": false,
|
| 27 |
+
"coverage_gap_reason": null,
|
| 28 |
+
"incomplete_results": false,
|
| 29 |
+
"pages_scanned": 1,
|
| 30 |
+
"query": "\"supply chain optimization\" in:readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 31 |
+
"query_id": "applied.supply-chain-optimization",
|
| 32 |
+
"range_end": "2026-09-28",
|
| 33 |
+
"range_start": "2008-01-01",
|
| 34 |
+
"search_limit_reached": false,
|
| 35 |
+
"status": "complete",
|
| 36 |
+
"total_count": 2
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"coverage_gap": false,
|
| 40 |
+
"coverage_gap_reason": null,
|
| 41 |
+
"incomplete_results": false,
|
| 42 |
+
"pages_scanned": 1,
|
| 43 |
+
"query": "\"tabular data\" in:readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 44 |
+
"query_id": "applied.tabular-ml",
|
| 45 |
+
"range_end": "2026-09-28",
|
| 46 |
+
"range_start": "2008-01-01",
|
| 47 |
+
"search_limit_reached": false,
|
| 48 |
+
"status": "complete",
|
| 49 |
+
"total_count": 44
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"coverage_gap": false,
|
| 53 |
+
"coverage_gap_reason": null,
|
| 54 |
+
"incomplete_results": false,
|
| 55 |
+
"pages_scanned": 1,
|
| 56 |
+
"query": "\"time series forecasting\" manufacturing in:description stars:>=10000 created:2008-01-01..2026-09-28",
|
| 57 |
+
"query_id": "applied.time-series-forecasting",
|
| 58 |
+
"range_end": "2026-09-28",
|
| 59 |
+
"range_start": "2008-01-01",
|
| 60 |
+
"search_limit_reached": false,
|
| 61 |
+
"status": "complete",
|
| 62 |
+
"total_count": 0
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"coverage_gap": false,
|
| 66 |
+
"coverage_gap_reason": null,
|
| 67 |
+
"incomplete_results": false,
|
| 68 |
+
"pages_scanned": 1,
|
| 69 |
+
"query": "\"traffic prediction\" \"machine learning\" in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 70 |
+
"query_id": "applied.traffic-prediction",
|
| 71 |
+
"range_end": "2026-09-28",
|
| 72 |
+
"range_start": "2008-01-01",
|
| 73 |
+
"search_limit_reached": false,
|
| 74 |
+
"status": "complete",
|
| 75 |
+
"total_count": 2
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"coverage_gap": false,
|
| 79 |
+
"coverage_gap_reason": null,
|
| 80 |
+
"incomplete_results": false,
|
| 81 |
+
"pages_scanned": 1,
|
| 82 |
+
"query": "\"uplift modeling\" in:description stars:>=10000 created:2008-01-01..2026-09-28",
|
| 83 |
+
"query_id": "applied.uplift-modeling",
|
| 84 |
+
"range_end": "2026-09-28",
|
| 85 |
+
"range_start": "2008-01-01",
|
| 86 |
+
"search_limit_reached": false,
|
| 87 |
+
"status": "complete",
|
| 88 |
+
"total_count": 0
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"coverage_gap": false,
|
| 92 |
+
"coverage_gap_reason": null,
|
| 93 |
+
"incomplete_results": false,
|
| 94 |
+
"pages_scanned": 1,
|
| 95 |
+
"query": "\"automated essay scoring\" machine learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 96 |
+
"query_id": "applied26.automated-essay-scoring",
|
| 97 |
+
"range_end": "2026-09-28",
|
| 98 |
+
"range_start": "2008-01-01",
|
| 99 |
+
"search_limit_reached": false,
|
| 100 |
+
"status": "complete",
|
| 101 |
+
"total_count": 0
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"coverage_gap": false,
|
| 105 |
+
"coverage_gap_reason": null,
|
| 106 |
+
"incomplete_results": false,
|
| 107 |
+
"pages_scanned": 1,
|
| 108 |
+
"query": "\"coherent imaging reconstruction\" deep learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 109 |
+
"query_id": "applied26.coherent-imaging-reconstruction",
|
| 110 |
+
"range_end": "2026-09-28",
|
| 111 |
+
"range_start": "2008-01-01",
|
| 112 |
+
"search_limit_reached": false,
|
| 113 |
+
"status": "complete",
|
| 114 |
+
"total_count": 0
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"coverage_gap": false,
|
| 118 |
+
"coverage_gap_reason": null,
|
| 119 |
+
"incomplete_results": false,
|
| 120 |
+
"pages_scanned": 1,
|
| 121 |
+
"query": "\"credit default prediction\" machine learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 122 |
+
"query_id": "applied26.credit-default-prediction",
|
| 123 |
+
"range_end": "2026-09-28",
|
| 124 |
+
"range_start": "2008-01-01",
|
| 125 |
+
"search_limit_reached": false,
|
| 126 |
+
"status": "complete",
|
| 127 |
+
"total_count": 0
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"coverage_gap": false,
|
| 131 |
+
"coverage_gap_reason": null,
|
| 132 |
+
"incomplete_results": false,
|
| 133 |
+
"pages_scanned": 1,
|
| 134 |
+
"query": "\"demand sensing\" machine learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 135 |
+
"query_id": "applied26.demand-sensing",
|
| 136 |
+
"range_end": "2026-09-28",
|
| 137 |
+
"range_start": "2008-01-01",
|
| 138 |
+
"search_limit_reached": false,
|
| 139 |
+
"status": "complete",
|
| 140 |
+
"total_count": 0
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"coverage_gap": false,
|
| 144 |
+
"coverage_gap_reason": null,
|
| 145 |
+
"incomplete_results": false,
|
| 146 |
+
"pages_scanned": 1,
|
| 147 |
+
"query": "\"few-shot segmentation\" deep learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 148 |
+
"query_id": "applied26.few-shot-segmentation",
|
| 149 |
+
"range_end": "2026-09-28",
|
| 150 |
+
"range_start": "2008-01-01",
|
| 151 |
+
"search_limit_reached": false,
|
| 152 |
+
"status": "complete",
|
| 153 |
+
"total_count": 0
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"coverage_gap": false,
|
| 157 |
+
"coverage_gap_reason": null,
|
| 158 |
+
"incomplete_results": false,
|
| 159 |
+
"pages_scanned": 1,
|
| 160 |
+
"query": "\"knowledge tracing\" machine learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 161 |
+
"query_id": "applied26.knowledge-tracing",
|
| 162 |
+
"range_end": "2026-09-28",
|
| 163 |
+
"range_start": "2008-01-01",
|
| 164 |
+
"search_limit_reached": false,
|
| 165 |
+
"status": "complete",
|
| 166 |
+
"total_count": 1
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"coverage_gap": false,
|
| 170 |
+
"coverage_gap_reason": null,
|
| 171 |
+
"incomplete_results": false,
|
| 172 |
+
"pages_scanned": 1,
|
| 173 |
+
"query": "\"market microstructure prediction\" machine learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 174 |
+
"query_id": "applied26.market-microstructure-prediction",
|
| 175 |
+
"range_end": "2026-09-28",
|
| 176 |
+
"range_start": "2008-01-01",
|
| 177 |
+
"search_limit_reached": false,
|
| 178 |
+
"status": "complete",
|
| 179 |
+
"total_count": 0
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"coverage_gap": false,
|
| 183 |
+
"coverage_gap_reason": null,
|
| 184 |
+
"incomplete_results": false,
|
| 185 |
+
"pages_scanned": 1,
|
| 186 |
+
"query": "\"partial label learning\" machine learning in:description,readme stars:>=10000 created:2008-01-01..2026-09-28",
|
| 187 |
+
"query_id": "applied26.partial-label-learning",
|
| 188 |
+
"range_end": "2026-09-28",
|
| 189 |
+
"range_start": "2008-01-01",
|
| 190 |
+
"search_limit_reached": false,
|
| 191 |
+
"status": "complete",
|
| 192 |
+
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|
| 193 |
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},
|
| 194 |
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{
|
| 195 |
+
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|
| 196 |
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|
| 197 |
+
"incomplete_results": false,
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data/observations/2026/09/28/20260928T033811000000Z-1dd245b5.jsonl
ADDED
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|
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state/star-crawl.json
CHANGED
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@@ -195,502 +195,524 @@
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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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| 413 |
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|
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|
| 416 |
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|
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|
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|
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|
| 425 |
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|
| 426 |
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| 428 |
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|
| 429 |
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|
| 430 |
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|
| 431 |
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| 432 |
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| 433 |
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|
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|
| 436 |
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| 438 |
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|
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|
| 440 |
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|
| 441 |
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| 442 |
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| 443 |
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|
| 445 |
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|
| 446 |
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|
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|
| 450 |
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|
| 451 |
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| 452 |
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|
| 455 |
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|
| 456 |
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|
| 460 |
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|
| 461 |
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| 462 |
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| 463 |
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|
| 464 |
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|
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|
@@ -4105,7 +4127,7 @@
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"query": "\"visual localization\" in:readme stars:>=10000"
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"next_index":
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"start": "2008-01-01",
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"version": 1
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"query": "\"search ranking\" in:readme stars:>=10000"
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"query": "\"ride demand prediction\" machine learning in:description,readme stars:>=10000"
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"query": "\"wind power forecasting\" machine learning in:description,readme stars:>=10000"
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