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latentscope/clusters/cluster-003-labels-001.json

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latentscope/clusters/cluster-003-labels-001.parquet

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latentscope/jobs/0276c32f-6d01-4d6f-af63-0812deb4421c.json

@@ -0,0 +1 @@
+{"id": "0276c32f-6d01-4d6f-af63-0812deb4421c", "dataset": "founders-1", "job_name": "embed", "command": "ls-embed \"founders-1\" \"points\" \"\ud83e\udd17-jinaai___jina-embeddings-v3\" --prefix=\"\" --batch_size=100 --max_seq_length=512", "status": "completed", "last_update": "2025-01-09 14:44:30.939916", "progress": ["Loading environment variables from: /Users/jimmyzhang/Development/latent-scope/.env", "RUNNING: embedding-003", "MODEL ID \ud83e\udd17-jinaai___jina-embeddings-v3", "MODEL <latentscope.models.providers.transformers.TransformersEmbedProvider object at 0x15c05e150>", "loading jinaai/jina-embeddings-v3", "A new version of the following files was downloaded from https://huggingface.co/jinaai/jina-embeddings-v3:", "- custom_st.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- configuration_xlm_roberta.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- mlp.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- rotary.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- mha.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- stochastic_depth.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- block.py", "- stochastic_depth.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- embedding.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- xlm_padding.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- modeling_xlm_roberta.py", "- mlp.py", "- rotary.py", "- mha.py", "- block.py", "- embedding.py", "- xlm_padding.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "A new version of the following files was downloaded from https://huggingface.co/jinaai/xlm-roberta-flash-implementation:", "- modeling_lora.py", "- modeling_xlm_roberta.py", ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.", "setting max seq length 512", "Checking for empty inputs", "embedding 3291 sentences in 32 batches", "", "0%|          | 0/32 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...", "To disable this warning, you can either:", "- Avoid using `tokenizers` before the fork if possible", "- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)", "", "3%|\u258e         | 1/32 [00:02<01:09,  2.23s/it]", "6%|\u258b         | 2/32 [00:03<00:52,  1.75s/it]", "9%|\u2589         | 3/32 [00:04<00:39,  1.36s/it]", "12%|\u2588\u258e        | 4/32 [00:05<00:33,  1.21s/it]", "16%|\u2588\u258c        | 5/32 [00:06<00:30,  1.12s/it]", "19%|\u2588\u2589        | 6/32 [00:07<00:27,  1.06s/it]", "22%|\u2588\u2588\u258f       | 7/32 [00:08<00:27,  1.09s/it]", "25%|\u2588\u2588\u258c       | 8/32 [00:09<00:28,  1.19s/it]", "28%|\u2588\u2588\u258a       | 9/32 [00:12<00:37,  1.61s/it]", "31%|\u2588\u2588\u2588\u258f      | 10/32 [00:14<00:36,  1.65s/it]", "34%|\u2588\u2588\u2588\u258d      | 11/32 [00:15<00:31,  1.49s/it]", "38%|\u2588\u2588\u2588\u258a      | 12/32 [00:16<00:29,  1.48s/it]", "41%|\u2588\u2588\u2588\u2588      | 13/32 [00:19<00:35,  1.89s/it]", "44%|\u2588\u2588\u2588\u2588\u258d     | 14/32 [00:20<00:29,  1.64s/it]", "47%|\u2588\u2588\u2588\u2588\u258b     | 15/32 [00:21<00:24,  1.44s/it]", "50%|\u2588\u2588\u2588\u2588\u2588     | 16/32 [00:23<00:24,  1.53s/it]", "53%|\u2588\u2588\u2588\u2588\u2588\u258e    | 17/32 [00:24<00:23,  1.54s/it]", "56%|\u2588\u2588\u2588\u2588\u2588\u258b    | 18/32 [00:26<00:20,  1.49s/it]", "59%|\u2588\u2588\u2588\u2588\u2588\u2589    | 19/32 [00:28<00:20,  1.56s/it]", "62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e   | 20/32 [00:29<00:18,  1.53s/it]", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c   | 21/32 [00:31<00:16,  1.53s/it]", "69%|\u2588\u2588\u2588\u2588\u2588\u2588\u2589   | 22/32 [00:32<00:14,  1.47s/it]", "72%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  | 23/32 [00:34<00:15,  1.71s/it]", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 24/32 [00:35<00:12,  1.57s/it]", "78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  | 25/32 [00:37<00:10,  1.52s/it]", "81%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 26/32 [00:38<00:09,  1.53s/it]", "84%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 27/32 [00:40<00:07,  1.51s/it]", "88%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 28/32 [00:42<00:06,  1.68s/it]", "91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 29/32 [00:43<00:04,  1.53s/it]", "94%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 30/32 [00:44<00:02,  1.47s/it]", "97%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 31/32 [00:46<00:01,  1.47s/it]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 32/32 [00:49<00:00,  2.02s/it]", "33it [00:51,  1.85s/it]", "33it [00:51,  1.55s/it]", "done with embedding-003"], "times": ["2025-01-09 14:42:55.382205", "2025-01-09 14:42:55.399360", "2025-01-09 14:42:55.399507", "2025-01-09 14:42:55.970060", "2025-01-09 14:42:55.970205", "2025-01-09 14:42:58.393334", "2025-01-09 14:42:58.394259", "2025-01-09 14:42:58.394739", "2025-01-09 14:42:59.362377", "2025-01-09 14:42:59.362741", "2025-01-09 14:42:59.363194", "2025-01-09 14:43:00.081035", "2025-01-09 14:43:00.082545", "2025-01-09 14:43:00.083939", "2025-01-09 14:43:00.237684", "2025-01-09 14:43:00.241034", "2025-01-09 14:43:00.241914", "2025-01-09 14:43:00.368388", "2025-01-09 14:43:00.369393", "2025-01-09 14:43:00.370070", "2025-01-09 14:43:00.651640", "2025-01-09 14:43:00.655359", "2025-01-09 14:43:00.656527", "2025-01-09 14:43:00.657797", "2025-01-09 14:43:00.661458", "2025-01-09 14:43:00.662347", "2025-01-09 14:43:00.671922", "2025-01-09 14:43:00.831100", "2025-01-09 14:43:00.831930", "2025-01-09 14:43:00.832646", "2025-01-09 14:43:01.054789", "2025-01-09 14:43:01.057358", "2025-01-09 14:43:01.058337", "2025-01-09 14:43:01.059405", "2025-01-09 14:43:01.060421", "2025-01-09 14:43:01.061515", "2025-01-09 14:43:01.062546", "2025-01-09 14:43:01.063734", "2025-01-09 14:43:01.064936", "2025-01-09 14:43:01.066212", "2025-01-09 14:43:01.068621", "2025-01-09 14:43:01.070676", "2025-01-09 14:43:01.071792", "2025-01-09 14:43:01.072277", "2025-01-09 14:43:01.072610", "2025-01-09 14:43:01.075632", "2025-01-09 14:43:39.782834", "2025-01-09 14:43:39.783326", "2025-01-09 14:43:39.785122", "2025-01-09 14:43:39.785595", "2025-01-09 14:43:41.971461", "2025-01-09 14:43:41.971742", "2025-01-09 14:43:41.971887", "2025-01-09 14:43:41.972015", "2025-01-09 14:43:42.015394", "2025-01-09 14:43:43.432223", "2025-01-09 14:43:44.323967", "2025-01-09 14:43:45.298154", "2025-01-09 14:43:46.264056", "2025-01-09 14:43:47.201206", "2025-01-09 14:43:48.348126", "2025-01-09 14:43:49.765718", "2025-01-09 14:43:52.302222", "2025-01-09 14:43:54.048491", "2025-01-09 14:43:55.172134", "2025-01-09 14:43:56.638161", "2025-01-09 14:43:59.450163", "2025-01-09 14:44:00.506501", "2025-01-09 14:44:01.477254", "2025-01-09 14:44:03.213588", "2025-01-09 14:44:04.774106", "2025-01-09 14:44:06.156899", "2025-01-09 14:44:07.894116", "2025-01-09 14:44:09.354111", "2025-01-09 14:44:10.889172", "2025-01-09 14:44:12.223803", "2025-01-09 14:44:14.472904", "2025-01-09 14:44:15.717363", "2025-01-09 14:44:17.121591", "2025-01-09 14:44:18.674394", "2025-01-09 14:44:20.139589", "2025-01-09 14:44:22.217892", "2025-01-09 14:44:23.404843", "2025-01-09 14:44:24.721284", "2025-01-09 14:44:26.183576", "2025-01-09 14:44:29.490922", "2025-01-09 14:44:30.937748", "2025-01-09 14:44:30.938008", "2025-01-09 14:44:30.938175", "2025-01-09 14:44:30.939914"], "run_id": "embedding-003"}

latentscope/jobs/08774726-2945-4dbf-a11b-9f95cf5d45c0.json

@@ -0,0 +1 @@
+{"id": "08774726-2945-4dbf-a11b-9f95cf5d45c0", "dataset": "founders-1", "job_name": "label", "command": "ls-label \"founders-1\" \"points\" \"cluster-003\" \"openai-gpt-4o\" 10 \"\" --max_tokens_per_sample=512 --max_tokens_total=8192", "status": "completed", "last_update": "2025-01-09 15:08:36.769364", "progress": ["Loading environment variables from: /Users/jimmyzhang/Development/latent-scope/.env", "RUNNING: cluster-003-labels-001", "Loading model openai-gpt-4o (may take a while if first time downloading from HF)", "get key /Users/jimmyzhang/Development/latent-scope", "Model loaded", "", "Preparing extracts:   0%|          | 0/65 [00:00<?, ?it/s]", "Preparing extracts: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 65/65 [00:00<00:00, 1221.95it/s]", "", "0%|          | 0/65 [00:00<?, ?it/s]", "", "cluster 0 label: Southwests Cost-Focused Strategy", "", "0%|          | 0/65 [00:01<?, ?it/s]", "2%|\u258f         | 1/65 [00:01<01:11,  1.12s/it]", "", "cluster 1 label: P.T. Barnums Career", "", "2%|\u258f         | 1/65 [00:02<01:11,  1.12s/it]", "3%|\u258e         | 2/65 [00:02<01:27,  1.39s/it]", "", "cluster 2 label: Henry Ford Innovations", "", "3%|\u258e         | 2/65 [00:04<01:27,  1.39s/it]", "5%|\u258d         | 3/65 [00:04<01:27,  1.42s/it]", "", "cluster 3 label: David Geffens Career", "", "5%|\u258d         | 3/65 [00:05<01:27,  1.42s/it]", "6%|\u258c         | 4/65 [00:05<01:25,  1.40s/it]", "", "cluster 4 label: Robert Noyces Leadership Insights", "", "6%|\u258c         | 4/65 [00:07<01:25,  1.40s/it]", "8%|\u258a         | 5/65 [00:07<01:28,  1.48s/it]", "", "cluster 5 label: Successful Innovator Loomis", "", "8%|\u258a         | 5/65 [00:08<01:28,  1.48s/it]", "9%|\u2589         | 6/65 [00:08<01:25,  1.45s/it]", "", "cluster 6 label: Leonardo da Vincis Genius", "", "9%|\u2589         | 6/65 [00:09<01:25,  1.45s/it]", "11%|\u2588         | 7/65 [00:09<01:20,  1.39s/it]", "", "cluster 7 label: Milton Hersheys Struggles", "", "11%|\u2588         | 7/65 [00:11<01:20,  1.39s/it]", "12%|\u2588\u258f        | 8/65 [00:11<01:21,  1.43s/it]", "", "cluster 8 label: Theodore Roosevelts Personality", "", "12%|\u2588\u258f        | 8/65 [00:12<01:21,  1.43s/it]", "14%|\u2588\u258d        | 9/65 [00:12<01:23,  1.50s/it]", "", "cluster 9 label: J.P. Morgans Influence", "", "14%|\u2588\u258d        | 9/65 [00:14<01:23,  1.50s/it]", "15%|\u2588\u258c        | 10/65 [00:14<01:21,  1.48s/it]", "", "cluster 10 label: William Randolph Hearst Life", "", "15%|\u2588\u258c        | 10/65 [00:15<01:21,  1.48s/it]", "17%|\u2588\u258b        | 11/65 [00:15<01:20,  1.49s/it]", "", "cluster 11 label: Joseph Pulitzers Ambitions", "", "17%|\u2588\u258b        | 11/65 [00:17<01:20,  1.49s/it]", "18%|\u2588\u258a        | 12/65 [00:17<01:18,  1.47s/it]", "", "cluster 12 label: Ernest Hemingways Life", "", "18%|\u2588\u258a        | 12/65 [00:18<01:18,  1.47s/it]", "20%|\u2588\u2588        | 13/65 [00:18<01:13,  1.41s/it]", "", "cluster 13 label: Samuel Colts Life and Legacy", "", "20%|\u2588\u2588        | 13/65 [00:19<01:13,  1.41s/it]", "22%|\u2588\u2588\u258f       | 14/65 [00:19<01:10,  1.39s/it]", "", "cluster 14 label: Package Delivery Innovations", "", "22%|\u2588\u2588\u258f       | 14/65 [00:21<01:10,  1.39s/it]", "23%|\u2588\u2588\u258e       | 15/65 [00:21<01:08,  1.37s/it]", "", "cluster 15 label: Rothschild Family Wealth", "", "23%|\u2588\u2588\u258e       | 15/65 [00:22<01:08,  1.37s/it]", "25%|\u2588\u2588\u258d       | 16/65 [00:22<01:06,  1.35s/it]", "", "cluster 16 label: Jim Clarks Business Philosophy", "", "25%|\u2588\u2588\u258d       | 16/65 [00:23<01:06,  1.35s/it]", "26%|\u2588\u2588\u258c       | 17/65 [00:23<01:04,  1.35s/it]", "", "cluster 17 label: Amazon Early Challenges", "", "26%|\u2588\u2588\u258c       | 17/65 [00:25<01:04,  1.35s/it]", "28%|\u2588\u2588\u258a       | 18/65 [00:25<01:06,  1.41s/it]", "", "cluster 18 label: Entrepreneurial Mindset and Strategy", "", "28%|\u2588\u2588\u258a       | 18/65 [00:26<01:06,  1.41s/it]", "29%|\u2588\u2588\u2589       | 19/65 [00:26<01:03,  1.38s/it]", "", "cluster 19 label: Winston Churchills Leadership", "", "29%|\u2588\u2588\u2589       | 19/65 [00:28<01:03,  1.38s/it]", "31%|\u2588\u2588\u2588       | 20/65 [00:28<01:01,  1.36s/it]", "", "cluster 20 label: Game Distribution Challenges", "", "31%|\u2588\u2588\u2588       | 20/65 [00:29<01:01,  1.36s/it]", "32%|\u2588\u2588\u2588\u258f      | 21/65 [00:29<01:00,  1.37s/it]", "", "cluster 21 label: Filmmaking Passion and Challenges", "", "32%|\u2588\u2588\u2588\u258f      | 21/65 [00:31<01:00,  1.37s/it]", "34%|\u2588\u2588\u2588\u258d      | 22/65 [00:31<01:01,  1.44s/it]", "", "cluster 22 label: Walt Disneys Business Philosophy", "", "34%|\u2588\u2588\u2588\u258d      | 22/65 [00:32<01:01,  1.44s/it]", "35%|\u2588\u2588\u2588\u258c      | 23/65 [00:32<00:57,  1.37s/it]", "", "cluster 23 label: John D. Rockefeller Biography", "", "35%|\u2588\u2588\u2588\u258c      | 23/65 [00:33<00:57,  1.37s/it]", "37%|\u2588\u2588\u2588\u258b      | 24/65 [00:33<00:55,  1.35s/it]", "", "cluster 24 label: C\u00e9sar Ritzs Career Journey", "", "37%|\u2588\u2588\u2588\u258b      | 24/65 [00:35<00:55,  1.35s/it]", "38%|\u2588\u2588\u2588\u258a      | 25/65 [00:35<00:56,  1.40s/it]", "", "cluster 25 label: Evan Spiegel Snapchat Vision", "", "38%|\u2588\u2588\u2588\u258a      | 25/65 [00:36<00:56,  1.40s/it]", "40%|\u2588\u2588\u2588\u2588      | 26/65 [00:36<00:56,  1.44s/it]", "", "cluster 26 label: Steve Jobs Insights", "", "40%|\u2588\u2588\u2588\u2588      | 26/65 [00:38<00:56,  1.44s/it]", "42%|\u2588\u2588\u2588\u2588\u258f     | 27/65 [00:38<00:58,  1.55s/it]", "", "cluster 27 label: Henry Singletons Leadership Style", "", "42%|\u2588\u2588\u2588\u2588\u258f     | 27/65 [00:39<00:58,  1.55s/it]", "43%|\u2588\u2588\u2588\u2588\u258e     | 28/65 [00:39<00:56,  1.52s/it]", "", "cluster 28 label: Enhancing Focus and Concentration", "", "43%|\u2588\u2588\u2588\u2588\u258e     | 28/65 [00:41<00:56,  1.52s/it]", "45%|\u2588\u2588\u2588\u2588\u258d     | 29/65 [00:41<00:52,  1.46s/it]", "", "cluster 29 label: Investment Strategies and Risks", "", "45%|\u2588\u2588\u2588\u2588\u258d     | 29/65 [00:42<00:52,  1.46s/it]", "46%|\u2588\u2588\u2588\u2588\u258c     | 30/65 [00:42<00:49,  1.41s/it]", "", "cluster 30 label: Ambition and Historical Wisdom", "", "46%|\u2588\u2588\u2588\u2588\u258c     | 30/65 [00:44<00:49,  1.41s/it]", "48%|\u2588\u2588\u2588\u2588\u258a     | 31/65 [00:44<00:49,  1.46s/it]", "", "cluster 31 label: Advertising Efficiency Techniques", "", "48%|\u2588\u2588\u2588\u2588\u258a     | 31/65 [00:45<00:49,  1.46s/it]", "49%|\u2588\u2588\u2588\u2588\u2589     | 32/65 [00:45<00:47,  1.43s/it]", "", "cluster 32 label: Business Failures and Lessons", "", "49%|\u2588\u2588\u2588\u2588\u2589     | 32/65 [00:46<00:47,  1.43s/it]", "51%|\u2588\u2588\u2588\u2588\u2588     | 33/65 [00:46<00:45,  1.43s/it]", "", "cluster 33 label: Love for Reading", "", "51%|\u2588\u2588\u2588\u2588\u2588     | 33/65 [00:48<00:45,  1.43s/it]", "52%|\u2588\u2588\u2588\u2588\u2588\u258f    | 34/65 [00:48<00:42,  1.37s/it]", "", "cluster 34 label: Retail Business Insights", "", "52%|\u2588\u2588\u2588\u2588\u2588\u258f    | 34/65 [00:49<00:42,  1.37s/it]", "54%|\u2588\u2588\u2588\u2588\u2588\u258d    | 35/65 [00:49<00:41,  1.37s/it]", "", "cluster 35 label: Hospitality and Culinary Challenges", "", "54%|\u2588\u2588\u2588\u2588\u2588\u258d    | 35/65 [00:50<00:41,  1.37s/it]", "55%|\u2588\u2588\u2588\u2588\u2588\u258c    | 36/65 [00:50<00:40,  1.41s/it]", "", "cluster 36 label: Passion for Engineering and Innovation", "", "55%|\u2588\u2588\u2588\u2588\u2588\u258c    | 36/65 [00:52<00:40,  1.41s/it]", "57%|\u2588\u2588\u2588\u2588\u2588\u258b    | 37/65 [00:52<00:39,  1.41s/it]", "", "cluster 37 label: Creating and Selling Uniquely", "", "57%|\u2588\u2588\u2588\u2588\u2588\u258b    | 37/65 [00:53<00:39,  1.41s/it]", "58%|\u2588\u2588\u2588\u2588\u2588\u258a    | 38/65 [00:53<00:37,  1.39s/it]", "", "cluster 38 label: Focus on Quality Improvement", "", "58%|\u2588\u2588\u2588\u2588\u2588\u258a    | 38/65 [00:54<00:37,  1.39s/it]", "60%|\u2588\u2588\u2588\u2588\u2588\u2588    | 39/65 [00:54<00:33,  1.31s/it]", "", "cluster 39 label: Entrepreneurial Pursuits", "", "60%|\u2588\u2588\u2588\u2588\u2588\u2588    | 39/65 [00:56<00:33,  1.31s/it]", "62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f   | 40/65 [00:56<00:34,  1.38s/it]", "", "cluster 40 label: Entrepreneurship and Business Insights", "", "62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f   | 40/65 [00:57<00:34,  1.38s/it]", "63%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e   | 41/65 [00:57<00:33,  1.38s/it]", "", "cluster 41 label: Innovation and Design", "", "63%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e   | 41/65 [00:59<00:33,  1.38s/it]", "65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d   | 42/65 [00:59<00:32,  1.41s/it]", "", "cluster 42 label: Work Habits and Discipline", "", "65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d   | 42/65 [01:00<00:32,  1.41s/it]", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c   | 43/65 [01:00<00:30,  1.39s/it]", "", "cluster 43 label: Wealth and Personal Values", "", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c   | 43/65 [01:01<00:30,  1.39s/it]", "68%|\u2588\u2588\u2588\u2588\u2588\u2588\u258a   | 44/65 [01:01<00:28,  1.36s/it]", "", "cluster 44 label: Business Principles and Wisdom", "", "68%|\u2588\u2588\u2588\u2588\u2588\u2588\u258a   | 44/65 [01:03<00:28,  1.36s/it]", "69%|\u2588\u2588\u2588\u2588\u2588\u2588\u2589   | 45/65 [01:03<00:26,  1.34s/it]", "", "cluster 45 label: Doriots Influence and Legacy", "", "69%|\u2588\u2588\u2588\u2588\u2588\u2588\u2589   | 45/65 [01:04<00:26,  1.34s/it]", "71%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588   | 46/65 [01:04<00:27,  1.47s/it]", "", "cluster 46 label: Critique of Strategic Planning", "", "71%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588   | 46/65 [01:06<00:27,  1.47s/it]", "72%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  | 47/65 [01:06<00:24,  1.37s/it]", "", "cluster 47 label: Business Growth Strategies", "", "72%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  | 47/65 [01:07<00:24,  1.37s/it]", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d  | 48/65 [01:07<00:22,  1.34s/it]", "", "cluster 48 label: Ideas and Innovation", "", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d  | 48/65 [01:08<00:22,  1.34s/it]", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 49/65 [01:08<00:20,  1.31s/it]", "", "cluster 49 label: Education and Ambition", "", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 49/65 [01:09<00:20,  1.31s/it]", "77%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b  | 50/65 [01:09<00:19,  1.30s/it]", "", "cluster 50 label: Family Loss and Memories", "", "77%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b  | 50/65 [01:11<00:19,  1.30s/it]", "78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  | 51/65 [01:11<00:18,  1.35s/it]", "", "cluster 51 label: Passion for Running", "", "78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  | 51/65 [01:12<00:18,  1.35s/it]", "80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  | 52/65 [01:12<00:17,  1.38s/it]", "", "cluster 52 label: Nonconformity and Individuality", "", "80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  | 52/65 [01:14<00:17,  1.38s/it]", "82%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 53/65 [01:14<00:17,  1.43s/it]", "", "cluster 53 label: Creative Process Insights", "", "82%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 53/65 [01:15<00:17,  1.43s/it]", "83%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 54/65 [01:15<00:15,  1.40s/it]", "", "cluster 54 label: Independent Thinking and Discovery", "", "83%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 54/65 [01:16<00:15,  1.40s/it]", "85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 55/65 [01:16<00:13,  1.35s/it]", "", "cluster 55 label: Perseverance and Resilience", "", "85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 55/65 [01:18<00:13,  1.35s/it]", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 56/65 [01:18<00:12,  1.35s/it]", "", "cluster 56 label: High Achievement Strategies", "", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 56/65 [01:19<00:12,  1.35s/it]", "88%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 57/65 [01:19<00:10,  1.32s/it]", "", "cluster 57 label: Excellence and Determination", "", "88%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 57/65 [01:20<00:10,  1.32s/it]", "89%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 58/65 [01:20<00:09,  1.31s/it]", "", "cluster 58 label: Perseverance and Positivity", "", "89%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 58/65 [01:23<00:09,  1.31s/it]", "91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 59/65 [01:23<00:09,  1.66s/it]", "", "cluster 59 label: Survival and Self-Belief", "", "91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 59/65 [01:24<00:09,  1.66s/it]", "92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 60/65 [01:24<00:07,  1.60s/it]", "", "cluster 60 label: Personal Motivation Reflections", "", "92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 60/65 [01:26<00:07,  1.60s/it]", "94%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 61/65 [01:26<00:06,  1.57s/it]", "", "cluster 61 label: Personal Reflections and Insights", "", "94%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 61/65 [01:27<00:06,  1.57s/it]", "95%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 62/65 [01:27<00:04,  1.47s/it]", "", "cluster 62 label: Life and Work Philosophy", "", "95%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 62/65 [01:28<00:04,  1.47s/it]", "97%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 63/65 [01:28<00:02,  1.48s/it]", "", "cluster 63 label: Driven and Determined", "", "97%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 63/65 [01:30<00:02,  1.48s/it]", "98%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 64/65 [01:30<00:01,  1.47s/it]", "", "cluster 64 label: Remarkable Personal Traits", "", "98%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 64/65 [01:31<00:01,  1.47s/it]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 65/65 [01:31<00:00,  1.46s/it]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 65/65 [01:31<00:00,  1.41s/it]", "labels: 65", "done with cluster-003-labels-001"], "times": ["2025-01-09 15:07:02.772271", "2025-01-09 15:07:02.813199", "2025-01-09 15:07:02.813365", "2025-01-09 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15:08:28.168052", "2025-01-09 15:08:28.169867", "2025-01-09 15:08:28.183218", "2025-01-09 15:08:28.187368", "2025-01-09 15:08:29.628377", "2025-01-09 15:08:29.630904", "2025-01-09 15:08:29.632605", "2025-01-09 15:08:29.633836", "2025-01-09 15:08:29.635298", "2025-01-09 15:08:31.141100", "2025-01-09 15:08:31.144770", "2025-01-09 15:08:31.147116", "2025-01-09 15:08:31.151767", "2025-01-09 15:08:31.154983", "2025-01-09 15:08:32.359842", "2025-01-09 15:08:32.362830", "2025-01-09 15:08:32.366884", "2025-01-09 15:08:32.373466", "2025-01-09 15:08:32.376465", "2025-01-09 15:08:33.879656", "2025-01-09 15:08:33.880838", "2025-01-09 15:08:33.882167", "2025-01-09 15:08:33.890357", "2025-01-09 15:08:33.891562", "2025-01-09 15:08:35.315331", "2025-01-09 15:08:35.318588", "2025-01-09 15:08:35.320529", "2025-01-09 15:08:35.324441", "2025-01-09 15:08:35.328160", "2025-01-09 15:08:36.751474", "2025-01-09 15:08:36.753091", "2025-01-09 15:08:36.754731", "2025-01-09 15:08:36.758556", "2025-01-09 15:08:36.760435", "2025-01-09 15:08:36.761909", "2025-01-09 15:08:36.765965", "2025-01-09 15:08:36.768043", "2025-01-09 15:08:36.769353"], "run_id": "cluster-003-labels-001"}

latentscope/jobs/5bc86e37-8fe7-458f-aaad-6e309612f506.json

@@ -0,0 +1 @@
+{"id": "5bc86e37-8fe7-458f-aaad-6e309612f506", "dataset": "founders-1", "job_name": "umap", "command": "ls-umap \"founders-1\" \"embedding-003\" 25 0.1 --seed=42", "status": "completed", "last_update": "2025-01-09 15:06:25.597588", "progress": ["Loading environment variables from: /Users/jimmyzhang/Development/latent-scope/.env", "RUNNING: umap-003", "loading embeddings", "Loading environment variables from: /Users/jimmyzhang/Development/latent-scope/.env", "reducing 1024 embeddings to 2 dimensions", "/Users/jimmyzhang/Development/latent-scope/testenv/lib/python3.12/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.", "warn(", "UMAP(angular_rp_forest=True, metric='cosine', n_jobs=1, n_neighbors=25, random_state=42, verbose=True)", "Thu Jan  9 15:06:15 2025 Construct fuzzy simplicial set", "Thu Jan  9 15:06:19 2025 Finding Nearest Neighbors", "Thu Jan  9 15:06:21 2025 Finished Nearest Neighbor Search", "Thu Jan  9 15:06:21 2025 Construct embedding", "", "Epochs completed:   0%|            0/500 [00:00]\tcompleted  0  /  500 epochs", "", "Epochs completed:   0%|            1/500 [00:00]", "Epochs completed:   5%| \u258d          23/500 [00:00]", "Epochs completed:   9%| \u2589          44/500 [00:00]\tcompleted  50  /  500 epochs", "", "Epochs completed:  13%| \u2588\u258e         65/500 [00:00]", "Epochs completed:  17%| \u2588\u258b         86/500 [00:00]\tcompleted  100  /  500 epochs", "", "Epochs completed:  21%| \u2588\u2588\u258f        107/500 [00:00]", "Epochs completed:  26%| \u2588\u2588\u258c        128/500 [00:00]", "Epochs completed:  30%| \u2588\u2588\u2589        148/500 [00:00]\tcompleted  150  /  500 epochs", "", "Epochs completed:  34%| \u2588\u2588\u2588\u258e       168/500 [00:01]", "Epochs completed:  38%| \u2588\u2588\u2588\u258a       189/500 [00:01]\tcompleted  200  /  500 epochs", "", "Epochs completed:  42%| \u2588\u2588\u2588\u2588\u258f      210/500 [00:01]", "Epochs completed:  46%| \u2588\u2588\u2588\u2588\u258c      231/500 [00:01]\tcompleted  250  /  500 epochs", "", "Epochs completed:  50%| \u2588\u2588\u2588\u2588\u2588      252/500 [00:01]", "Epochs completed:  55%| \u2588\u2588\u2588\u2588\u2588\u258d     273/500 [00:01]", "Epochs completed:  59%| \u2588\u2588\u2588\u2588\u2588\u2589     294/500 [00:01]\tcompleted  300  /  500 epochs", "", "Epochs completed:  63%| \u2588\u2588\u2588\u2588\u2588\u2588\u258e    315/500 [00:01]", "Epochs completed:  67%| \u2588\u2588\u2588\u2588\u2588\u2588\u258b    336/500 [00:01]\tcompleted  350  /  500 epochs", "", "Epochs completed:  71%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f   357/500 [00:01]", "Epochs completed:  76%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c   378/500 [00:02]", "Epochs completed:  80%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589   399/500 [00:02]\tcompleted  400  /  500 epochs", "", "Epochs completed:  84%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d  420/500 [00:02]", "Epochs completed:  88%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  441/500 [00:02]\tcompleted  450  /  500 epochs", "", "Epochs completed:  92%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 462/500 [00:02]", "Epochs completed:  97%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b 483/500 [00:02]", "Epochs completed: 100%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 500/500 [00:02]", "Thu Jan  9 15:06:25 2025 Finished embedding", "writing normalized umap umap-003", "wrote /Users/jimmyzhang/latent-scope-data/founders-1/umaps/umap-003.parquet", "POINT SIZE 30 for 3291 points", "done with umap-003"], "times": ["2025-01-09 15:06:12.934070", "2025-01-09 15:06:12.934610", "2025-01-09 15:06:15.427570", "2025-01-09 15:06:15.427749", "2025-01-09 15:06:15.443191", "2025-01-09 15:06:15.448332", "2025-01-09 15:06:15.448445", "2025-01-09 15:06:15.448964", "2025-01-09 15:06:15.459504", "2025-01-09 15:06:19.973890", "2025-01-09 15:06:21.145697", "2025-01-09 15:06:21.933696", "2025-01-09 15:06:22.641739", "2025-01-09 15:06:22.870259", "2025-01-09 15:06:22.870518", "2025-01-09 15:06:22.970873", "2025-01-09 15:06:23.074544", "2025-01-09 15:06:23.108541", "2025-01-09 15:06:23.176754", "2025-01-09 15:06:23.279650", "2025-01-09 15:06:23.353102", "2025-01-09 15:06:23.382316", "2025-01-09 15:06:23.484679", "2025-01-09 15:06:23.585592", "2025-01-09 15:06:23.601918", "2025-01-09 15:06:23.688151", "2025-01-09 15:06:23.789957", "2025-01-09 15:06:23.848742", "2025-01-09 15:06:23.892914", "2025-01-09 15:06:23.994679", "2025-01-09 15:06:24.091670", "2025-01-09 15:06:24.096654", "2025-01-09 15:06:24.200426", "2025-01-09 15:06:24.304099", "2025-01-09 15:06:24.338878", "2025-01-09 15:06:24.407485", "2025-01-09 15:06:24.510433", "2025-01-09 15:06:24.583487", "2025-01-09 15:06:24.614082", "2025-01-09 15:06:24.716111", "2025-01-09 15:06:24.818390", "2025-01-09 15:06:24.828131", "2025-01-09 15:06:24.921442", "2025-01-09 15:06:25.023349", "2025-01-09 15:06:25.071855", "2025-01-09 15:06:25.126145", "2025-01-09 15:06:25.234604", "2025-01-09 15:06:25.320494", "2025-01-09 15:06:25.320715", "2025-01-09 15:06:25.320956", "2025-01-09 15:06:25.337932", "2025-01-09 15:06:25.358405", "2025-01-09 15:06:25.480396", "2025-01-09 15:06:25.597582"], "run_id": "umap-003"}

latentscope/jobs/842280f0-92e0-43e5-982b-b578c4678dd7.json

@@ -0,0 +1 @@
+{"id": "842280f0-92e0-43e5-982b-b578c4678dd7", "dataset": "founders-1", "job_name": "cluster", "command": "ls-cluster \"founders-1\" \"umap-003\" 15 5 0.005", "status": "completed", "last_update": "2025-01-09 15:06:47.610822", "progress": ["Loading environment variables from: /Users/jimmyzhang/Development/latent-scope/.env", "RUNNING: cluster-003", "n_clusters: 65", "noise points assigned to clusters: 1119", "cluster  raw_cluster", "0       34           -1", "1       32           -1", "2       40           -1", "3       46           -1", "4       54           -1", "wrote /Users/jimmyzhang/latent-scope-data/founders-1/clusters/cluster-003.parquet", "POINT SIZE 30 for 3291 points", "", "0%|          | 0/65 [00:00<?, ?it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 65/65 [00:00<00:00, 8606.01it/s]", "done with cluster-003"], "times": ["2025-01-09 15:06:46.505697", "2025-01-09 15:06:46.506078", "2025-01-09 15:06:47.277612", "2025-01-09 15:06:47.277779", "2025-01-09 15:06:47.280932", "2025-01-09 15:06:47.281006", "2025-01-09 15:06:47.281060", "2025-01-09 15:06:47.281110", "2025-01-09 15:06:47.281166", "2025-01-09 15:06:47.281218", "2025-01-09 15:06:47.281274", "2025-01-09 15:06:47.364511", "2025-01-09 15:06:47.599923", "2025-01-09 15:06:47.607517", "2025-01-09 15:06:47.607663", "2025-01-09 15:06:47.610819"], "run_id": "cluster-003"}

latentscope/jobs/8dfd6ab6-2247-41a9-b226-344b2a348106.json

@@ -0,0 +1 @@
+{"id": "8dfd6ab6-2247-41a9-b226-344b2a348106", "dataset": "founders-1", "job_name": "upload-dataset", "command": "ls-upload-dataset \"/Users/jimmyzhang/latent-scope-data/founders-1\" \"ls-founders-1\" --main-parquet=\"scopes/scopes-003-input.parquet\" --private=false", "status": "running", "last_update": "2025-01-09 15:13:44.978584", "progress": ["ARGS Namespace(directory='/Users/jimmyzhang/latent-scope-data/founders-1', dataset_name='ls-founders-1', main_parquet='scopes/scopes-003-input.parquet', private='false', token=None)", "get key /Users/jimmyzhang/Development/latent-scope", "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.", "Token is valid (permission: write).", "Your token has been saved to /Users/jimmyzhang/.cache/huggingface/token", "Login successful", "USERNAME jzhang621", "Creating repository: ls-founders-1", "Repository created/verified: https://huggingface.co/datasets/jzhang621/ls-founders-1", "DIRECTORY /Users/jimmyzhang/latent-scope-data/founders-1"], "times": ["2025-01-09 15:13:44.773589", "2025-01-09 15:13:44.773795", "2025-01-09 15:13:44.773881", "2025-01-09 15:13:44.886353", "2025-01-09 15:13:44.886622", "2025-01-09 15:13:44.886854", "2025-01-09 15:13:44.924259", "2025-01-09 15:13:44.924589", "2025-01-09 15:13:44.976489", "2025-01-09 15:13:44.978570"]}

latentscope/jobs/94b65308-03b8-49b3-97eb-f9fe3052f2e0.json

@@ -0,0 +1 @@
+{"id": "94b65308-03b8-49b3-97eb-f9fe3052f2e0", "dataset": "founders-1", "job_name": "scope", "command": "ls-scope \"founders-1\" \"embedding-003\" \"umap-003\" \"cluster-003\" \"cluster-003-labels-001\" \"\ud83e\udd17-jinaai/jina-embeddings-v3 + openai-gpt-4o\" \"\" --sae_id=sae-001", "status": "completed", "last_update": "2025-01-09 15:08:47.787294", "progress": ["Loading environment variables from: /Users/jimmyzhang/Development/latent-scope/.env", "DATA DIR /Users/jimmyzhang/latent-scope-data", "RUNNING: scopes-003", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id None", "scope columns Index(['x', 'y', 'tile_index_64', 'cluster', 'raw_cluster', 'label', 'deleted',", "'ls_index'],", "dtype='object')", "wrote scope scopes-003"], "times": ["2025-01-09 15:08:47.457029", "2025-01-09 15:08:47.457342", "2025-01-09 15:08:47.457443", "2025-01-09 15:08:47.712959", "2025-01-09 15:08:47.768205", "2025-01-09 15:08:47.768358", "2025-01-09 15:08:47.768510", "2025-01-09 15:08:47.768578", "2025-01-09 15:08:47.768644", "2025-01-09 15:08:47.787288"], "run_id": "scopes-003"}

latentscope/jobs/b1d20cdd-825d-4de2-b3cb-4ac9bc750716.json

@@ -1 +1 @@
-{"id": "b1d20cdd-825d-4de2-b3cb-4ac9bc750716", "dataset": "founders-1", "job_name": "upload-dataset", "command": "ls-upload-dataset \"/Users/jimmyzhang/latent-scope-data/founders-1\" \"ls-founders-1\" --main-parquet=\"scopes/scopes-002-input.parquet\" --private=false", "status": "running", "last_update": "2025-01-08 21:45:17.799917", "progress": ["ARGS Namespace(directory='/Users/jimmyzhang/latent-scope-data/founders-1', dataset_name='ls-founders-1', main_parquet='scopes/scopes-002-input.parquet', private='false', token=None)", "get key /Users/jimmyzhang/Development/latent-scope", "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.", "Token is valid (permission: write).", "Your token has been saved to /Users/jimmyzhang/.cache/huggingface/token", "Login successful", "USERNAME jzhang621", "Creating repository: ls-founders-1", "Repository created/verified: https://huggingface.co/datasets/jzhang621/ls-founders-1", "DIRECTORY /Users/jimmyzhang/latent-scope-data/founders-1"], "times": ["2025-01-08 21:45:17.355318", "2025-01-08 21:45:17.355604", "2025-01-08 21:45:17.355695", "2025-01-08 21:45:17.461743", "2025-01-08 21:45:17.461998", "2025-01-08 21:45:17.462106", "2025-01-08 21:45:17.504817", "2025-01-08 21:45:17.505166", "2025-01-08 21:45:17.799154", "2025-01-08 21:45:17.799907"]}
+{"id": "b1d20cdd-825d-4de2-b3cb-4ac9bc750716", "dataset": "founders-1", "job_name": "upload-dataset", "command": "ls-upload-dataset \"/Users/jimmyzhang/latent-scope-data/founders-1\" \"ls-founders-1\" --main-parquet=\"scopes/scopes-002-input.parquet\" --private=false", "status": "completed", "last_update": "2025-01-08 21:45:25.332202", "progress": ["ARGS Namespace(directory='/Users/jimmyzhang/latent-scope-data/founders-1', dataset_name='ls-founders-1', main_parquet='scopes/scopes-002-input.parquet', private='false', token=None)", "get key /Users/jimmyzhang/Development/latent-scope", "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.", "Token is valid (permission: write).", "Your token has been saved to /Users/jimmyzhang/.cache/huggingface/token", "Login successful", "USERNAME jzhang621", "Creating repository: ls-founders-1", "Repository created/verified: https://huggingface.co/datasets/jzhang621/ls-founders-1", "DIRECTORY /Users/jimmyzhang/latent-scope-data/founders-1", "MAIN PARQUET /Users/jimmyzhang/latent-scope-data/founders-1/scopes/scopes-002-input.parquet", "", "Generating train split: 0 examples [00:00, ? examples/s]", "Generating train split: 3291 examples [00:00, 506400.12 examples/s]", "", "Uploading the dataset shards:   0%|          | 0/1 [00:00<?, ?it/s]", "", "Creating parquet from Arrow format:   0%|          | 0/4 [00:00<?, ?ba/s]\u001b[A", "Creating parquet from Arrow format: 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92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 18.7M/20.3M [00:02<00:00, 9.37MB/s]\u001b[A", "embedding-001.h5: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 20.3M/20.3M [00:02<00:00, 8.20MB/s]", "", "", "", "Upload 22 LFS files:  50%|\u2588\u2588\u2588\u2588\u2588     | 11/22 [00:03<00:03,  3.31it/s]\u001b[A\u001b[A", "Upload 22 LFS files: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 22/22 [00:03<00:00,  6.68it/s]", "uploaded to: jzhang621/ls-founders-1"], "times": ["2025-01-08 21:45:17.355318", "2025-01-08 21:45:17.355604", "2025-01-08 21:45:17.355695", "2025-01-08 21:45:17.461743", "2025-01-08 21:45:17.461998", "2025-01-08 21:45:17.462106", "2025-01-08 21:45:17.504817", "2025-01-08 21:45:17.505166", "2025-01-08 21:45:17.799154", "2025-01-08 21:45:17.799907", "2025-01-08 21:45:17.879965", "2025-01-08 21:45:18.009371", "2025-01-08 21:45:18.015968", "2025-01-08 21:45:18.016383", "2025-01-08 21:45:18.085708", "2025-01-08 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