|
|
{"id": "7f4a8bae-4e23-4225-bf16-15748a93c688", "dataset": "dataisplural", "job_name": "label", "command": "ls-label \"dataisplural\" \"text\" \"cluster-001\" \"openai-gpt-4o-mini\" 10 \"\" --max_tokens_per_sample=512 --max_tokens_total=8192", "status": "completed", "last_update": "2025-01-16 23:38:08.879008", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: cluster-001-labels-001", "Loading model openai-gpt-4o-mini (may take a while if first time downloading from HF)", "get key /Users/enjalot/code/latent-scope", "Model loaded", "", "Preparing extracts: 0%| | 0/80 [00:00<?, ?it/s]", "Preparing extracts: 78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 62/80 [00:00<00:00, 611.59it/s]", "Preparing extracts: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 80/80 [00:00<00:00, 610.24it/s]", "", "0%| | 0/80 [00:00<?, ?it/s]", "", "cluster 0 label: Biological Databases and Analysis", "", "0%| | 0/80 [00:00<?, ?it/s]", "1%|\u258f | 1/80 [00:00<01:12, 1.09it/s]", "", "cluster 1 label: Legal Data Collections", "", "1%|\u258f | 1/80 [00:02<01:12, 1.09it/s]", "2%|\u258e | 2/80 [00:02<01:26, 1.10s/it]", "", "cluster 2 label: Animal Data Collections", "", "2%|\u258e | 2/80 [00:03<01:26, 1.10s/it]", "4%|\u258d | 3/80 [00:03<01:36, 1.25s/it]", "", "cluster 3 label: Biodiversity Databases and Datasets", "", "4%|\u258d | 3/80 [00:04<01:36, 1.25s/it]", "5%|\u258c | 4/80 [00:04<01:36, 1.27s/it]", "", "cluster 4 label: Fish and Wildlife Data", "", "5%|\u258c | 4/80 [00:06<01:36, 1.27s/it]", "6%|\u258b | 5/80 [00:06<01:35, 1.27s/it]", "", "cluster 5 label: Migration and Detention Data", "", "6%|\u258b | 5/80 [00:07<01:35, 1.27s/it]", "8%|\u258a | 6/80 [00:07<01:35, 1.29s/it]", "", "cluster 6 label: Criminal Justice Databases", "", "8%|\u258a | 6/80 [00:08<01:35, 1.29s/it]", "9%|\u2589 | 7/80 [00:08<01:30, 1.24s/it]", "", "cluster 7 label: Incarceration Data and Research", "", "9%|\u2589 | 7/80 [00:09<01:30, 1.24s/it]", "10%|\u2588 | 8/80 [00:09<01:32, 1.29s/it]", "", "cluster 8 label: Police Accountability Data", "", "10%|\u2588 | 8/80 [00:11<01:32, 1.29s/it]", "11%|\u2588\u258f | 9/80 [00:11<01:31, 1.29s/it]", "", "cluster 9 label: Data Analysis and Disclosure", "", "11%|\u2588\u258f | 9/80 [00:12<01:31, 1.29s/it]", "12%|\u2588\u258e | 10/80 [00:12<01:33, 1.33s/it]", "", "cluster 10 label: Violence and Crime Databases", "", "12%|\u2588\u258e | 10/80 [00:13<01:33, 1.33s/it]", "14%|\u2588\u258d | 11/80 [00:13<01:30, 1.32s/it]", "", "cluster 11 label: Protest and Violence Data", "", "14%|\u2588\u258d | 11/80 [00:15<01:30, 1.32s/it]", "15%|\u2588\u258c | 12/80 [00:15<01:28, 1.30s/it]", "", "cluster 12 label: Conflict Data and Analysis", "", "15%|\u2588\u258c | 12/80 [00:16<01:28, 1.30s/it]", "16%|\u2588\u258b | 13/80 [00:16<01:27, 1.31s/it]", "", "cluster 13 label: Diverse Research Datasets", "", "16%|\u2588\u258b | 13/80 [00:17<01:27, 1.31s/it]", "18%|\u2588\u258a | 14/80 [00:17<01:27, 1.32s/it]", "", "cluster 14 label: COVID-19 Policy Tracking Datasets", "", "18%|\u2588\u258a | 14/80 [00:19<01:27, 1.32s/it]", "19%|\u2588\u2589 | 15/80 [00:19<01:26, 1.33s/it]", "", "cluster 15 label: Mortality Data and Analysis", "", "19%|\u2588\u2589 | 15/80 [00:20<01:26, 1.33s/it]", "20%|\u2588\u2588 | 16/80 [00:20<01:26, 1.35s/it]", "", "cluster 16 label: Public Health Datasets", "", "20%|\u2588\u2588 | 16/80 [00:21<01:26, 1.35s/it]", "21%|\u2588\u2588\u258f | 17/80 [00:22<01:24, 1.34s/it]", "", "cluster 17 label: Historical Data Projects", "", "21%|\u2588\u2588\u258f | 17/80 [00:26<01:24, 1.34s/it]", "22%|\u2588\u2588\u258e | 18/80 [00:26<02:14, 2.17s/it]", "", "cluster 18 label: Data on Aid and Rights", "", "22%|\u2588\u2588\u258e | 18/80 [00:27<02:14, 2.17s/it]", "24%|\u2588\u2588\u258d | 19/80 [00:27<01:54, 1.88s/it]", "", "cluster 19 label: Migration and Policy Data", "", "24%|\u2588\u2588\u258d | 19/80 [00:28<01:54, 1.88s/it]", "25%|\u2588\u2588\u258c | 20/80 [00:28<01:41, 1.70s/it]", "", "cluster 20 label: Forest and Land Data", "", "25%|\u2588\u2588\u258c | 20/80 [00:29<01:41, 1.70s/it]", "26%|\u2588\u2588\u258b | 21/80 [00:29<01:33, 1.58s/it]", "", "cluster 21 label: Climate Data and Emissions", "", "26%|\u2588\u2588\u258b | 21/80 [00:31<01:33, 1.58s/it]", "28%|\u2588\u2588\u258a | 22/80 [00:31<01:27, 1.51s/it]", "", "cluster 22 label: Energy Data Resources", "", "28%|\u2588\u2588\u258a | 22/80 [00:32<01:27, 1.51s/it]", "29%|\u2588\u2588\u2589 | 23/80 [00:32<01:18, 1.38s/it]", "", "cluster 23 label: Legislative Data and Transparency", "", "29%|\u2588\u2588\u2589 | 23/80 [00:33<01:18, 1.38s/it]", "30%|\u2588\u2588\u2588 | 24/80 [00:33<01:17, 1.38s/it]", "", "cluster 24 label: Wildfire Data and Monitoring", "", "30%|\u2588\u2588\u2588 | 24/80 [00:34<01:17, 1.38s/it]", "31%|\u2588\u2588\u2588\u258f | 25/80 [00:34<01:13, 1.33s/it]", "", "cluster 25 label: Water Resources Data", "", "31%|\u2588\u2588\u2588\u258f | 25/80 [00:36<01:13, 1.33s/it]", "32%|\u2588\u2588\u2588\u258e | 26/80 [00:36<01:11, 1.33s/it]", "", "cluster 26 label: Environmental Data Collection", "", "32%|\u2588\u2588\u2588\u258e | 26/80 [00:37<01:11, 1.33s/it]", "34%|\u2588\u2588\u2588\u258d | 27/80 [00:37<01:09, 1.31s/it]", "", "cluster 27 label: Government Transparency Datasets", "", "34%|\u2588\u2588\u2588\u258d | 27/80 [00:38<01:09, 1.31s/it]", "35%|\u2588\u2588\u2588\u258c | 28/80 [00:38<01:08, 1.32s/it]", "", "cluster 28 label: Climate and Weather Datasets", "", "35%|\u2588\u2588\u2588\u258c | 28/80 [00:40<01:08, 1.32s/it]", "36%|\u2588\u2588\u2588\u258b | 29/80 [00:40<01:10, 1.38s/it]", "", "cluster 29 label: Disaster and Flood Data", "", "36%|\u2588\u2588\u2588\u258b | 29/80 [00:41<01:10, 1.38s/it]", "38%|\u2588\u2588\u2588\u258a | 30/80 [00:41<01:06, 1.34s/it]", "", "cluster 30 label: Political Dataset Collections", "", "38%|\u2588\u2588\u2588\u258a | 30/80 [00:43<01:06, 1.34s/it]", "39%|\u2588\u2588\u2588\u2589 | 31/80 [00:43<01:06, 1.36s/it]", "", "cluster 31 label: Political Data Datasets", "", "39%|\u2588\u2588\u2588\u2589 | 31/80 [00:44<01:06, 1.36s/it]", "40%|\u2588\u2588\u2588\u2588 | 32/80 [00:44<01:03, 1.33s/it]", "", "cluster 32 label: Geospatial Data and Monitoring", "", "40%|\u2588\u2588\u2588\u2588 | 32/80 [00:45<01:03, 1.33s/it]", "41%|\u2588\u2588\u2588\u2588\u258f | 33/80 [00:45<01:02, 1.32s/it]", "", "cluster 33 label: Space Exploration Datasets", "", "41%|\u2588\u2588\u2588\u2588\u258f | 33/80 [00:46<01:02, 1.32s/it]", "42%|\u2588\u2588\u2588\u2588\u258e | 34/80 [00:46<01:01, 1.34s/it]", "", "cluster 34 label: Geospatial and Environmental Data", "", "42%|\u2588\u2588\u2588\u2588\u258e | 34/80 [00:48<01:01, 1.34s/it]", "44%|\u2588\u2588\u2588\u2588\u258d | 35/80 [00:48<01:00, 1.34s/it]", "", "cluster 35 label: Consumer Safety Reports", "", "44%|\u2588\u2588\u2588\u2588\u258d | 35/80 [00:50<01:00, 1.34s/it]", "45%|\u2588\u2588\u2588\u2588\u258c | 36/80 [00:50<01:04, 1.47s/it]", "", "cluster 36 label: Agricultural Data and Analysis", "", "45%|\u2588\u2588\u2588\u2588\u258c | 36/80 [01:02<01:04, 1.47s/it]", "46%|\u2588\u2588\u2588\u2588\u258b | 37/80 [01:02<03:27, 4.82s/it]", "", "cluster 37 label: Geospatial Datasets and Analysis", "", "46%|\u2588\u2588\u2588\u2588\u258b | 37/80 [01:03<03:27, 4.82s/it]", "48%|\u2588\u2588\u2588\u2588\u258a | 38/80 [01:03<02:38, 3.77s/it]", "", "cluster 38 label: Aviation Safety Data", "", "48%|\u2588\u2588\u2588\u2588\u258a | 38/80 [01:05<02:38, 3.77s/it]", "49%|\u2588\u2588\u2588\u2588\u2589 | 39/80 [01:05<02:04, 3.03s/it]", "", "cluster 39 label: Aviation Data and Regulations", "", "49%|\u2588\u2588\u2588\u2588\u2589 | 39/80 [01:06<02:04, 3.03s/it]", "50%|\u2588\u2588\u2588\u2588\u2588 | 40/80 [01:06<01:39, 2.49s/it]", "", "cluster 40 label: Media Franchise APIs", "", "50%|\u2588\u2588\u2588\u2588\u2588 | 40/80 [01:07<01:39, 2.49s/it]", "51%|\u2588\u2588\u2588\u2588\u2588\u258f | 41/80 [01:07<01:23, 2.13s/it]", "", "cluster 41 label: Datasets on Social Issues", "", "51%|\u2588\u2588\u2588\u2588\u2588\u258f | 41/80 [01:09<01:23, 2.13s/it]", "52%|\u2588\u2588\u2588\u2588\u2588\u258e | 42/80 [01:09<01:11, 1.87s/it]", "", "cluster 42 label: Sports Data Collections", "", "52%|\u2588\u2588\u2588\u2588\u2588\u258e | 42/80 [01:10<01:11, 1.87s/it]", "54%|\u2588\u2588\u2588\u2588\u2588\u258d | 43/80 [01:10<01:01, 1.65s/it]", "", "cluster 43 label: Geolocation and Dataset Projects", "", "54%|\u2588\u2588\u2588\u2588\u2588\u258d | 43/80 [01:11<01:01, 1.65s/it]", "55%|\u2588\u2588\u2588\u2588\u2588\u258c | 44/80 [01:11<00:57, 1.58s/it]", "", "cluster 44 label: Diverse Research Databases", "", "55%|\u2588\u2588\u2588\u2588\u2588\u258c | 44/80 [01:13<00:57, 1.58s/it]", "56%|\u2588\u2588\u2588\u2588\u2588\u258b | 45/80 [01:13<01:01, 1.75s/it]", "", "cluster 45 label: Healthcare Data and Transparency", "", "56%|\u2588\u2588\u2588\u2588\u2588\u258b | 45/80 [01:15<01:01, 1.75s/it]", "57%|\u2588\u2588\u2588\u2588\u2588\u258a | 46/80 [01:15<00:54, 1.60s/it]", "", "cluster 46 label: Digital Historical Data", "", "57%|\u2588\u2588\u2588\u2588\u2588\u258a | 46/80 [01:16<00:54, 1.60s/it]", "59%|\u2588\u2588\u2588\u2588\u2588\u2589 | 47/80 [01:16<00:48, 1.48s/it]", "", "cluster 47 label: Historical Data Datasets", "", "59%|\u2588\u2588\u2588\u2588\u2588\u2589 | 47/80 [01:17<00:48, 1.48s/it]", "60%|\u2588\u2588\u2588\u2588\u2588\u2588 | 48/80 [01:17<00:44, 1.40s/it]", "", "cluster 48 label: New York City Housing Data", "", "60%|\u2588\u2588\u2588\u2588\u2588\u2588 | 48/80 [01:18<00:44, 1.40s/it]", "61%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 49/80 [01:18<00:43, 1.40s/it]", "", "cluster 49 label: Language Data and Research", "", "61%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 49/80 [01:20<00:43, 1.40s/it]", "62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 50/80 [01:20<00:41, 1.38s/it]", "", "cluster 50 label: Urban Transit Data", "", "62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 50/80 [01:23<00:41, 1.38s/it]", "64%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 51/80 [01:23<00:57, 1.99s/it]", "", "cluster 51 label: Surveillance and Mapping Data", "", "64%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 51/80 [01:24<00:57, 1.99s/it]", "65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 52/80 [01:24<00:50, 1.79s/it]", "", "cluster 52 label: Urban Infrastructure Datasets", "", "65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 52/80 [01:26<00:50, 1.79s/it]", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 53/80 [01:26<00:43, 1.60s/it]", "", "cluster 53 label: Housing Market Data", "", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 53/80 [01:27<00:43, 1.60s/it]", "68%|\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 54/80 [01:27<00:39, 1.52s/it]", "", "cluster 54 label: Housing Price Data Analysis", "", "68%|\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 54/80 [01:28<00:39, 1.52s/it]", "69%|\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 55/80 [01:28<00:37, 1.49s/it]", "", "cluster 55 label: Open Data Initiatives", "", "69%|\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 55/80 [01:30<00:37, 1.49s/it]", "70%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 56/80 [01:30<00:34, 1.45s/it]", "", "cluster 56 label: Data Platforms on Corporations", "", "70%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 56/80 [01:31<00:34, 1.45s/it]", "71%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 57/80 [01:31<00:32, 1.41s/it]", "", "cluster 57 label: Historical News Datasets", "", "71%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 57/80 [01:32<00:32, 1.41s/it]", "72%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 58/80 [01:32<00:29, 1.36s/it]", "", "cluster 58 label: Political Data and Analysis", "", "72%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 58/80 [01:34<00:29, 1.36s/it]", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 59/80 [01:34<00:28, 1.38s/it]", "", "cluster 59 label: Economic Statistics Reports", "", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 59/80 [01:35<00:28, 1.38s/it]", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 60/80 [01:35<00:26, 1.30s/it]", "", "cluster 60 label: International Economic Databases", "", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 60/80 [01:36<00:26, 1.30s/it]", "76%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 61/80 [01:36<00:25, 1.33s/it]", "", "cluster 61 label: Government Financial Datasets", "", "76%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 61/80 [01:37<00:25, 1.33s/it]", "78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 62/80 [01:37<00:23, 1.30s/it]", "", "cluster 62 label: Government Financial Data", "", "78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 62/80 [01:39<00:23, 1.30s/it]", "79%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 63/80 [01:39<00:21, 1.26s/it]", "", "cluster 63 label: Economic and Demographic Studies", "", "79%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 63/80 [01:40<00:21, 1.26s/it]", "80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 64/80 [01:40<00:19, 1.22s/it]", "", "cluster 64 label: Diverse Research Datasets", "", "80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 64/80 [01:41<00:19, 1.22s/it]", "81%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 65/80 [01:41<00:18, 1.26s/it]", "", "cluster 65 label: Labor and Employment Surveys", "", "81%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 65/80 [01:42<00:18, 1.26s/it]", "82%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 66/80 [01:42<00:17, 1.26s/it]", "", "cluster 66 label: Occupational and Workforce Data", "", "82%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 66/80 [01:44<00:17, 1.26s/it]", "84%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 67/80 [01:44<00:16, 1.30s/it]", "", "cluster 67 label: Film Data and Analysis", "", "84%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 67/80 [01:45<00:16, 1.30s/it]", "85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 68/80 [01:45<00:15, 1.31s/it]", "", "cluster 68 label: Education Data and Statistics", "", "85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 68/80 [01:46<00:15, 1.31s/it]", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 69/80 [01:46<00:13, 1.25s/it]", "", "cluster 69 label: Education Data and Analysis", "", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 69/80 [01:47<00:13, 1.25s/it]", "88%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 70/80 [01:47<00:12, 1.25s/it]", "", "cluster 70 label: Research Data and Datasets", "", "88%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 70/80 [01:49<00:12, 1.25s/it]", "89%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 71/80 [01:49<00:11, 1.26s/it]", "", "cluster 71 label: Datasets and Corpora", "", "89%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 71/80 [01:50<00:11, 1.26s/it]", "90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 72/80 [01:50<00:10, 1.34s/it]", "", "cluster 72 label: Data-Driven Puzzles Analysis", "", "90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 72/80 [01:51<00:10, 1.34s/it]", "91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 73/80 [01:51<00:09, 1.31s/it]", "", "cluster 73 label: Sports Data Compilation", "", "91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 73/80 [01:53<00:09, 1.31s/it]", "92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e| 74/80 [01:53<00:07, 1.33s/it]", "", "cluster 74 label: Cybersecurity Datasets and Vulnerabilities", "", "92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e| 74/80 [01:54<00:07, 1.33s/it]", "94%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 75/80 [01:54<00:06, 1.33s/it]", "", "cluster 75 label: Open Research Datasets", "", "94%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 75/80 [01:56<00:06, 1.33s/it]", "95%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 76/80 [01:56<00:05, 1.34s/it]", "", "cluster 76 label: Data Collections and Analyses", "", "95%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 76/80 [01:57<00:05, 1.34s/it]", "96%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 77/80 [01:57<00:03, 1.33s/it]", "", "cluster 77 label: Diverse Data Collections", "", "96%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 77/80 [01:58<00:03, 1.33s/it]", "98%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 78/80 [01:58<00:02, 1.30s/it]", "", "cluster 78 label: Music and Performance Databases", "", "98%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 78/80 [02:00<00:02, 1.30s/it]", "99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589| 79/80 [02:00<00:01, 1.37s/it]", "", "cluster 79 label: Open Data Art Projects", "", 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