sasha (Sasha Luccioni) \n return [mapped_item for batch in iter_batched(data_struct, batch_size) for mapped_item in function(batch)]\n File \"/usr/local/lib/python3.10/site-packages/datasets/download/download_manager.py\", line 219, in _download_batched\n return [\n File \"/usr/local/lib/python3.10/site-packages/datasets/download/download_manager.py\", line 220, in <listcomp>\n self._download_single(url_or_filename, download_config=download_config)\n File \"/usr/local/lib/python3.10/site-packages/datasets/download/download_manager.py\", line 229, in _download_single\n out = cached_path(url_or_filename, download_config=download_config)\n File \"/usr/local/lib/python3.10/site-packages/datasets/utils/file_utils.py\", line 182, in cached_path\n output_path = huggingface_hub.HfApi(\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py\", line 89, in _inner_fn\n return fn(*args, **kwargs)\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/hf_api.py\", line 5922, in hf_hub_download\n return hf_hub_download(\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py\", line 89, in _inner_fn\n return fn(*args, **kwargs)\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 986, in hf_hub_download\n return _hf_hub_download_to_cache_dir(\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 1202, in _hf_hub_download_to_cache_dir\n _download_to_tmp_and_move(\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 1826, in _download_to_tmp_and_move\n xet_get(\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py\", line 549, in xet_get\n download_files(\nRuntimeError: Data processing error: File reconstruction error: CAS Client Error: Request error: HTTP status client error (401 Unauthorized), domain: https://cas-server-direct.xethub.hf.co/v1/reconstructions/af23e8adcf756250b1f5ccdf14fb8a3f17c15fa6bdddde1bd67850d53d1187da\n","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"sdbiaseval-find-my-butterfly.hf.space","stage":"READY"},{"domain":"sasha-find-my-butterfly.hf.space","stage":"READY"}]},"title":"Find My Butterfly 🦋","isLikedByUser":false,"originRepo":{"name":"sayakpaul/fetch-similar-images","author":{"_id":"5f7fbd813e94f16a85448745","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1649681653581-5f7fbd813e94f16a85448745.jpeg","fullname":"Sayak Paul","name":"sayakpaul","type":"user","isPro":true,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":1028,"isUserFollowing":false}},"ai_short_description":"Find the closest matching butterfly for an uploaded photo","ai_category":"Image","trendingScore":0,"tags":["gradio","region:us"],"featured":false,"visibility":"public"},{"author":"sasha","authorData":{"_id":"60edd0133e2c73a9a21455f5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60edd0133e2c73a9a21455f5/yK1G-Fv-YjYb7v_chkz3p.jpeg","fullname":"Sasha Luccioni","name":"sasha","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":491,"isUserFollowing":false},"colorFrom":"green","colorTo":"blue","createdAt":"2023-11-08T13:48:06.000Z","disabled":false,"emoji":"🌎","id":"sasha/CO2_inference","lastModified":"2025-11-25T22:26:18.000Z","likes":22,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-basic","requested":"cpu-basic"},"gcTimeout":172800,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"sasha-co2-inference.hf.space","stage":"READY"}],"sha":"3f216f9377fb9ac0be634ed5fa7a1057d8632ae1"},"title":"CO2 Inference","isLikedByUser":false,"ai_short_description":"Visualize carbon emissions and performance of machine learning models","ai_category":"Data Visualization","trendingScore":0,"tags":["gradio","region:us"],"featured":false,"visibility":"public"},{"author":"sasha","authorData":{"_id":"60edd0133e2c73a9a21455f5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60edd0133e2c73a9a21455f5/yK1G-Fv-YjYb7v_chkz3p.jpeg","fullname":"Sasha Luccioni","name":"sasha","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":491,"isUserFollowing":false},"colorFrom":"yellow","colorTo":"blue","createdAt":"2025-10-22T13:11:49.000Z","disabled":false,"emoji":"🦀","id":"sasha/energy-cost-compute","lastModified":"2025-10-28T17:14:58.000Z","likes":3,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"SLEEPING","hardware":{"current":null,"requested":"cpu-basic"},"gcTimeout":172800,"replicas":{"requested":1},"devMode":false,"domains":[{"domain":"sasha-energy-cost-compute.hf.space","stage":"READY"}]},"shortDescription":"Demo to explore the energy and $ cost of compute","title":"Energy Cost Compute","isLikedByUser":false,"ai_short_description":"Explore cloud compute energy and cost comparisons","ai_category":"Data Visualization","trendingScore":0,"tags":["gradio","region:us"],"featured":false,"visibility":"public"},{"author":"sasha","authorData":{"_id":"60edd0133e2c73a9a21455f5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60edd0133e2c73a9a21455f5/yK1G-Fv-YjYb7v_chkz3p.jpeg","fullname":"Sasha Luccioni","name":"sasha","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":491,"isUserFollowing":false},"colorFrom":"yellow","colorTo":"blue","createdAt":"2025-10-21T15:10:41.000Z","disabled":false,"emoji":"🦋","id":"sasha/insectarium-gala","lastModified":"2025-10-21T18:08:34.000Z","likes":0,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNTIME_ERROR","hardware":{"current":null,"requested":"cpu-basic"},"gcTimeout":172800,"errorMessage":"Exit code: 1. Reason: /usr/local/lib/python3.9/site-packages/gradio_client/utils.py\", line 855, in synchronize_async\n return fsspec.asyn.sync(fsspec.asyn.get_loop(), func, *args, **kwargs) # type: ignore\n File \"/usr/local/lib/python3.9/site-packages/fsspec/asyn.py\", line 103, in sync\n raise return_result\n File \"/usr/local/lib/python3.9/site-packages/fsspec/asyn.py\", line 56, in _runner\n result[0] = await coro\n File \"/usr/local/lib/python3.9/site-packages/gradio/helpers.py\", line 517, in cache\n prediction = await Context.root_block.process_api(\n File \"/usr/local/lib/python3.9/site-packages/gradio/blocks.py\", line 1945, in process_api\n data = await self.postprocess_data(block_fn, result[\"prediction\"], state)\n File \"/usr/local/lib/python3.9/site-packages/gradio/blocks.py\", line 1768, in postprocess_data\n prediction_value = block.postprocess(prediction_value)\n File \"/usr/local/lib/python3.9/site-packages/gradio/components/gallery.py\", line 238, in postprocess\n for o in executor.map(_save, value):\n File \"/usr/local/lib/python3.9/concurrent/futures/_base.py\", line 609, in result_iterator\n yield fs.pop().result()\n File \"/usr/local/lib/python3.9/concurrent/futures/_base.py\", line 446, in result\n return self.__get_result()\n File \"/usr/local/lib/python3.9/concurrent/futures/_base.py\", line 391, in __get_result\n raise self._exception\n File \"/usr/local/lib/python3.9/concurrent/futures/thread.py\", line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/usr/local/lib/python3.9/site-packages/gradio/components/gallery.py\", line 228, in _save\n return GalleryImage(\n File \"/usr/local/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for GalleryImage\ncaption\n Input should be a valid string [type=string_type, input_value=111, input_type=int]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type\n","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"sasha-insectarium-gala.hf.space","stage":"READY"}]},"title":"Find My Butterfly 🦋","isLikedByUser":false,"originRepo":{"name":"sasha/find-my-butterfly","author":{"_id":"634819d85890bffbf5d96593","avatarUrl":"https://www.gravatar.com/avatar/07dc248ac5e922f9d2a488078b37e22d?d=retro&size=100","fullname":"Stable Diffusion Bias Eval","name":"SDbiaseval","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":11,"isUserFollowing":false}},"trendingScore":0,"tags":["gradio","region:us"],"featured":false,"visibility":"public"},{"author":"sasha","authorData":{"_id":"60edd0133e2c73a9a21455f5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60edd0133e2c73a9a21455f5/yK1G-Fv-YjYb7v_chkz3p.jpeg","fullname":"Sasha Luccioni","name":"sasha","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":491,"isUserFollowing":false},"colorFrom":"yellow","colorTo":"purple","createdAt":"2025-06-11T10:33:11.000Z","disabled":false,"emoji":"📈","id":"sasha/environmental-transparency","lastModified":"2025-06-18T19:01:48.000Z","likes":6,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"SLEEPING","hardware":{"current":null,"requested":"cpu-basic"},"gcTimeout":172800,"replicas":{"requested":1},"devMode":false,"domains":[{"domain":"sasha-environmental-transparency.hf.space","stage":"READY"}]},"shortDescription":"Data from \"Misinformation by Omission\"","title":"Environmental Transparency","isLikedByUser":false,"ai_short_description":"Explore environmental transparency in AI models by organization","ai_category":"Data Visualization","trendingScore":0,"tags":["gradio","region:us"],"featured":false,"visibility":"public"}],"u":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60edd0133e2c73a9a21455f5/yK1G-Fv-YjYb7v_chkz3p.jpeg","isPro":true,"fullname":"Sasha Luccioni","user":"sasha","orgs":[{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674034531134-61e6a54836fa261c76dc3760.png","fullname":"Society & Ethics","name":"society-ethics","userRole":"admin","type":"org","isHf":false,"details":"👐 Openness, 🤝 collaboration, 📋 transparency, candor, ✍️ rigor, 🫡 responsibility, 🙋♂️ accountability, 🤗 approachability, 🪜 lowering barriers to entry, 🔎 auditability, 🌎 sustainability, 👁️🗨️ societal impact, 🧑🤝🧑 inclusivity, 🛡️ minimizing societal harms"},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1634806038075-5df7e9e5da6d0311fd3d53f9.png","fullname":"BigScience Workshop","name":"bigscience","userRole":"admin","type":"org","isHf":false,"details":"A one-year long research workshop on large language models: the Summer of Language Models 21 🌸"},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1637946025573-5fbfd09ee366524fe8e97cd3.webp","fullname":"BigScience Catalogue Data","name":"bigscience-catalogue-data","userRole":"write","type":"org","isHf":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1642714419598-5fbfd09ee366524fe8e97cd3.webp","fullname":"BigScience Data","name":"bigscience-data","userRole":"write","type":"org","isHf":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1653634576117-5e48005437cb5b49818287a5.png","fullname":"evaluate","name":"evaluate","userRole":"admin","type":"org","isHf":false},{"avatarUrl":"https://www.gravatar.com/avatar/c24bbbff22b50459bd6f3bf2ac32ee1c?d=retro&size=100","fullname":"Climate NLP","name":"ClimateNLP","userRole":"admin","type":"org","isHf":false},{"avatarUrl":"https://www.gravatar.com/avatar/1ea42ec9bcb7c4fb6d06152cfe3a50e1?d=retro&size=100","fullname":"Climate QA","name":"ClimateQA","userRole":"admin","type":"org","isHf":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1653634596248-5e48005437cb5b49818287a5.png","fullname":"Evaluate Metric","name":"evaluate-metric",…