Search is not available for this dataset
how-to-train
float64 -1.54
1.29
| how-to-generate
float64 -1.57
1.25
| reformer
float64 -1.15
1.37
| pytorch_block_sparse
float64 -1.31
1.51
| encoder-decoder
float64 -1.3
1.24
| ray-tune
float64 -1.57
1.58
| porting-fsmt
float64 -1.31
1.24
| warm-starting-encoder-decoder
float64 -1.24
1.18
| accelerated-inference
float64 -1.34
1.53
| zero-deepspeed-fairscale
float64 -1.39
1.2
| tf-serving
float64 -1.29
1.35
| pytorch-xla
float64 -1.39
1.35
| ray-rag
float64 -1.29
1.51
| simple-considerations
float64 -1.18
1.21
| long-range-transformers
float64 -1.41
1.36
| fine-tune-wav2vec2-english
float64 -1.29
1.28
| how-to-deploy-a-pipeline-to-google-clouds
float64 -1.17
1.37
| the-partnership-amazon-sagemaker-and-hugging-face
float64 -1.2
1.41
| big-bird
float64 -1.32
1.41
| sagemaker-distributed-training-seq2seq
float64 -1.34
1.34
| accelerate-library
float64 -1.43
1.41
| bert-cpu-scaling-part-1
float64 -1.12
1.31
| gradio
float64 -1.3
1.42
| few-shot-learning-gpt-neo-and-inference-api
float64 -1.27
1.28
| sentence-transformers-in-the-hub
float64 -1.35
1.34
| deploy-hugging-face-models-easily-with-amazon-sagemaker
float64 -1.29
1.46
| spacy
float64 -1.25
1.34
| collaborative-training
float64 -1.41
1.29
| hardware-partners-program
float64 -1.38
1.45
| graphcore
float64 -1.3
1.4
| summer-at-huggingface
float64 -1.25
1.31
| gradio-spaces
float64 -1.5
1.36
| streamlit-spaces
float64 -1.38
1.25
| fine-tune-clip-rsicd
float64 -1.5
1.51
| the-age-of-ml-as-code
float64 -1.24
1.14
| 1b-sentence-embeddings
float64 -1.53
1.25
| large-language-models
float64 -1.29
1.24
| course-launch-event
float64 -1.42
1.5
| bert-cpu-scaling-part-2
float64 -1.18
1.33
| fine-tune-xlsr-wav2vec2
float64 -1.3
1.28
| accelerating-pytorch
float64 -1.23
1.31
| data-measurements-tool
float64 -1.38
1.31
| graphcore-getting-started
float64 -1.35
1.53
| snowball-fight
float64 -1.47
1.4
| codeparrot
float64 -1.15
1.44
| perceiver
float64 -1.41
1.19
| gradio-joins-hf
float64 -1.33
1.28
| autonlp-prodigy
float64 -1.31
1.3
| gptj-sagemaker
float64 -1.3
1.32
| wav2vec2-with-ngram
float64 -1.35
1.34
| infinity-cpu-performance
float64 -1.38
1.22
| sb3
float64 -1.29
1.31
| searching-the-hub
float64 -1.24
1.63
| asr-chunking
float64 -1.24
1.32
| sentiment-analysis-python
float64 -1.47
1.27
| fine-tune-vit
float64 -1.29
1.38
| bert-101
float64 -1.23
1.29
| constrained-beam-search
float64 -1.46
1.4
| image-search-datasets
float64 -1.35
1.41
| bert-inferentia-sagemaker
float64 -1.3
1.46
| fine-tune-segformer
float64 -1.25
1.41
| ai-residency
float64 -1.5
1.59
| meg-mitchell-interview
float64 -1.25
1.45
| decision-transformers
float64 -1.32
1.28
| transformers-design-philosophy
float64 -1.24
1.41
| habana
float64 -1.29
1.41
| lewis-tunstall-interview
float64 -1.25
1.13
| carbon-emissions-on-the-hub
float64 -1.57
1.36
| supercharge-customer-service-with-machine-learning
float64 -1.23
1.31
| education
float64 -1.16
1.59
| getting-started-habana
float64 -1.4
1.39
| ml-director-insights
float64 -1.36
1.3
| opinion-classification-with-kili
float64 -1.32
1.41
| pytorch-fsdp
float64 -1.16
1.44
| deep-rl-intro
float64 -1.31
1.24
| fastai
float64 -1.38
1.49
| series-c
float64 -1.32
1.2
| optimum-inference
float64 -1.32
1.43
| ambassadors
float64 -1.56
1.5
| ml-director-insights-2
float64 -1.19
1.37
| gradio-blocks
float64 -1.17
1.33
| fellowship
float64 -1.58
1.45
| sasha-luccioni-interview
float64 -1.1
1.3
| deep-rl-q-part1
float64 -1.23
1.19
| ethical-charter-multimodal
float64 -1.41
1.7
| sempre-health-eap-case-study
float64 -1.4
1.29
| deep-rl-q-part2
float64 -1.26
1.38
| tapex
float64 -1.31
1.45
| community-update
float64 -1.44
1.47
| graphcore-update
float64 -1.37
1.38
| deep-rl-dqn
float64 -1.18
1.19
| annotated-diffusion
float64 -1.18
1.17
| ml-director-insights-3
float64 -1.25
1.19
| intel
float64 -1.28
1.35
| convert-transformers-to-onnx
float64 -1.36
1.4
| getting-started-with-embeddings
float64 -1.55
1.31
| eval-on-the-hub
float64 -1.25
1.26
| accelerate-deepspeed
float64 -1.34
1.24
| your-first-ml-project
float64 -1.34
1.27
| deep-rl-pg
float64 -1.2
1.21
| sentiment-analysis-twitter
float64 -1.48
1.3
| bloom
float64 -1.2
1.27
| playlist-generator
float64 -1.22
1.37
| bloom-megatron-deepspeed
float64 -1.18
1.24
| mnist-adversarial
float64 -1.24
1.43
| deep-rl-a2c
float64 -1.23
1.31
| tf-serving-vision
float64 -1.46
1.31
| tf-xla-generate
float64 -1.33
1.41
| datasets-docs-update
float64 -1.56
1.25
| us-national-ai-research-resource
float64 -1.34
1.37
| nystromformer
float64 -1.58
1.39
| introducing-private-hub
float64 -1.3
1.27
| deep-rl-ppo
float64 -1.17
1.24
| how-to-train-sentence-transformers
float64 -1.53
1.31
| deploy-tfserving-kubernetes
float64 -1.4
1.24
| tensorflow-philosophy
float64 -1.24
1.18
| skops
float64 -1.42
1.49
| hf-bitsandbytes-integration
float64 -1.23
1.48
| vision-transformers
float64 -1.48
1.37
| deploy-vertex-ai
float64 -1.25
1.34
| pretraining-bert
float64 -1.27
1.54
| stable_diffusion
float64 -1.25
1.26
| spaces_3dmoljs
float64 -1.68
1.22
| open_rail
float64 -1.24
1.87
| train-decision-transformers
float64 -1.19
1.4
| diffusers-2nd-month
float64 -1.26
1.36
| megatron-training
float64 -1.32
1.45
| bloom-inference-pytorch-scripts
float64 -1.5
1.47
| ethics-soc-1
float64 -1.38
1.65
| setfit
float64 -1.44
1.42
| accelerate-large-models
float64 -1.48
1.64
| autotrain-image-classification
float64 -1.25
1.37
| zero-shot-eval-on-the-hub
float64 -1.27
1.46
| japanese-stable-diffusion
float64 -1.63
1.54
| introducing-doi
float64 -1.34
1.35
| bloom-inference-optimization
float64 -1.24
1.31
| stable_diffusion_jax
float64 -1.26
1.41
| inference-endpoints
float64 -1.43
1.46
| mteb
float64 -1.49
1.51
| pytorch-ddp-accelerate-transformers
float64 -1.18
1.36
| evaluating-llm-bias
float64 -1.44
1.42
| openvino
float64 -1.38
1.37
| fine-tune-whisper
float64 -1.28
1.43
| dreambooth
float64 -1.27
1.29
| pricing-update
float64 -1.54
1.64
| introducing-csearch
float64 -1.39
1.38
| sentiment-analysis-fhe
float64 -1.25
1.3
| arxiv
float64 -1.58
1.37
| ml-director-insights-4
float64 -1.28
1.22
| inference-update
float64 -1.38
1.28
| document-ai
float64 -1.27
1.27
| diffusion-models-event
float64 -1.33
1.36
| interns-2023
float64 -1.26
1.4
| vq-diffusion
float64 -1.49
1.28
| time-series-transformers
float64 -1.51
1.26
| diffusers-coreml
float64 -1.42
1.48
| deep-learning-with-proteins
float64 -1.27
1.29
| elixir-bumblebee
float64 -1.39
1.35
| rlhf
float64 -1.25
1.28
| habana-gaudi-2-benchmark
float64 -1.19
1.48
| audio-datasets
float64 -1.42
1.39
| ethics-soc-2
float64 -1.32
1.54
| model-cards
float64 -1.4
1.49
| clipseg-zero-shot
float64 -1.32
1.57
| intel-sapphire-rapids
float64 -1.28
1.34
| ml-for-games-1
float64 -1.36
1.36
| intro-graphml
float64 -1.22
1.35
| ml-for-games-2
float64 -1.19
1.18
| image-similarity
float64 -1.46
1.49
| paddlepaddle
float64 -1.43
1.59
| mask2former
float64 -1.53
1.49
| ml-for-games-3
float64 -1.22
1.23
| optimum-onnxruntime-training
float64 -1.22
1.36
| dialog-agents
float64 -1.46
1.28
| lora
float64 -1.36
1.27
| ml-for-games-4
float64 -1.24
1.3
| cv_state
float64 -1.21
1.27
| vision_language_pretraining
float64 -1.27
1.2
| intel-sapphire-rapids-inference
float64 -1.36
1.47
| aivsai
float64 -1.37
1.54
| ml-for-games-5
float64 -1.2
1.35
| speecht5
float64 -1.57
1.34
| peft
float64 -1.44
1.24
| mantis-case-study
float64 -1.33
1.27
| blip-2
float64 -1.38
1.39
| aws-partnership
float64 -1.4
1.29
| fast-mac-diffusers
float64 -1.47
1.42
| red-teaming
float64 -1.26
1.43
| classification-use-cases
float64 -1.23
1.25
| ethics-diffusers
float64 -1.55
1.83
| controlnet
float64 -1.26
1.23
| using-ml-for-disasters
float64 -1.37
1.33
| vit-align
float64 -1.56
1.43
| trl-peft
float64 -1.34
1.31
| informer
float64 -1.35
1.21
| notebooks-hub
float64 -1.69
1.39
| train-your-controlnet
float64 -1.44
1.2
| fl-with-flower
float64 -1.3
1.35
| stable-diffusion-inference-intel
float64 -1.25
1.44
| habana-gaudi-2-bloom
float64 -1.47
1.41
| ethics-soc-3
float64 -1.33
1.61
| stackllama
float64 -1.3
1.37
| snorkel-case-study
float64 -1.28
1.6
| owkin-substra
float64 -1.31
1.46
| graphml-classification
float64 -1.26
1.28
| accelerate-transformers-with-inferentia2
float64 -1.27
1.49
| unity-in-spaces
float64 -1.38
1.3
| chinese-language-blog
float64 -1.45
1.38
| databricks-case-study
float64 -1.33
1.34
| tf_tpu
float64 -1.41
1.28
| if
float64 -1.29
1.26
| unity-api
float64 -1.47
1.41
| starcoder
float64 -1.29
1.41
| text-to-video
float64 -1.25
1.34
| starchat-alpha
float64 -1.32
1.27
| assisted-generation
float64 -1.44
1.29
| rwkv
float64 -1.22
1.27
| chatbot-amd-gpu
float64 -1.27
1.36
| generative-ai-models-on-intel-cpu
float64 -1.26
1.46
| dedup
float64 -1.46
1.35
| instruction-tuning-sd
float64 -1.21
1.27
| safetensors-security-audit
float64 -1.31
1.45
| huggingface-and-ibm
float64 -1.24
1.62
| hugging-face-endpoints-on-azure
float64 -1.37
1.3
| 4bit-transformers-bitsandbytes
float64 -1.22
1.31
| train-optimize-sd-intel
float64 -1.24
1.27
| bertopic
float64 -1.38
1.46
| sagemaker-huggingface-llm
float64 -1.22
1.34
| cnil
float64 -1.53
1.39
| game-jam
float64 -1.27
1.3
| unity-asr
float64 -1.37
1.54
| falcon
float64 -1.37
1.34
| fasttext
float64 -1.37
1.3
| hub-duckdb
float64 -1.35
1.28
| hf-hub-glam-guide
float64 -1.26
1.37
| llm-leaderboard
float64 -1.2
1.27
| huggingface-and-amd
float64 -1.26
1.25
| content-guidelines-update
float64 -1.25
1.35
| livebook-app-deployment
float64 -1.43
1.32
| fast-diffusers-coreml
float64 -1.24
1.48
| autoformer
float64 -1.19
1.26
| policy-ntia-rfc
float64 -1.3
1.33
| mms_adapters
float64 -1.4
1.27
| panel-on-hugging-face
float64 -1.63
1.24
| evaluating-mmlu-leaderboard
float64 -1.13
1.31
| ethics-soc-4
float64 -1.27
1.45
| bridgetower
float64 -1.26
1.53
| writer-case-study
float64 -1.7
1.3
| text-to-webapp
float64 -1.34
1.36
| inference-endpoints-llm
float64 -1.23
1.24
| ml-web-games
float64 -1.28
1.27
| stable-diffusion-finetuning-intel
float64 -1.34
1.31
| os-llms
float64 -1.23
1.23
| ai-webtv
float64 -1.43
1.32
| llama2
float64 -1.27
1.26
| diffusers-turns-1
float64 -1.37
1.47
| game-jam-first-edition-results
float64 -1.21
1.38
| agents-js
float64 -1.56
1.14
| eu-ai-act-oss
float64 -1.32
1.42
| stable-diffusion-xl-coreml
float64 -1.36
1.51
| sd_distillation
float64 -1.26
1.35
| 3d-assets
float64 -1.22
1.48
| encrypted-llm
float64 -1.25
1.5
| huggy-lingo
float64 -1.37
1.35
| run-musicgen-as-an-api
float64 -1.34
1.34
| swift-coreml-llm
float64 -1.3
1.31
| dpo-trl
float64 -1.4
1.27
| deploy-deepfloydif-using-bentoml
float64 -1.34
1.28
| optimizing-bark
float64 -1.56
1.8
| aws-marketplace
float64 -1.56
1.4
| idefics
float64 -1.18
1.31
| safecoder
float64 -1.34
1.34
| gptq-integration
float64 -1.28
1.41
| password-git-deprecation
float64 -1.47
1.55
| codellama
float64 -1.18
1.32
| audioldm2
float64 -1.36
1.55
| fetch-case-study
float64 -1.32
1.56
| falcon-180b
float64 -1.4
1.32
| t2i-sdxl-adapters
float64 -1.3
1.39
| safecoder-vs-closed-source-code-assistants
float64 -1.28
1.3
| overview-quantization-transformers
float64 -1.17
1.38
| ram-efficient-pytorch-fsdp
float64 -1.31
1.35
| wuerstchen
float64 -1.23
1.33
| optimize-llm
float64 -1.19
1.31
| object-detection-leaderboard
float64 -1.28
1.4
| gaussian-splatting
float64 -1.24
1.31
| rocketmoney-case-study
float64 -1.29
1.46
| inference-pro
float64 -1.27
1.29
| llama-sagemaker-benchmark
float64 -1.32
1.46
| Llama2-for-non-engineers
float64 -1.32
1.35
| trl-ddpo
float64 -1.41
1.22
| ethics-soc-5
float64 -1.36
1.46
| ai-comic-factory
float64 -1.28
1.4
| chat-templates
float64 -1.79
1.27
| sdxl_jax
float64 -1.26
1.48
| ort-accelerating-hf-models
float64 -1.38
1.29
| gradio-lite
float64 -1.22
1.39
| simple_sdxl_optimizations
float64 -1.22
1.52
| the_n_implementation_details_of_rlhf_with_ppo
float64 -1.19
1.27
| inference-endpoints-embeddings
float64 -1.38
1.29
| scalable-data-inspection
float64 -1.66
1.38
| personal-copilot
float64 -1.26
1.24
| researcher-dataset-sharing
float64 -1.45
1.43
| regions
float64 -1.32
1.69
| Lora-for-sequence-classification-with-Roberta-Llama-Mistral
float64 -1.39
1.4
| prodigy-hf
float64 -1.29
1.2
| inferentia-llama2
float64 -1.29
1.37
| lcm_lora
float64 -1.31
1.3
| leaderboard-drop-dive
float64 -1.34
1.64
| lora-adapters-dynamic-loading
float64 -1.37
1.21
| optimum-nvidia
float64 -1.32
1.5
| setfit-absa
float64 -1.38
1.25
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0.344471 | 0.443324 | 0.44157 | 0.07216 | 0.380923 | 0.26824 | 0.715188 | 0.376247 | 0.247806 | 0.264072 | 0.21476 | 0.211466 | 0.704207 | 0.308958 | 0.454641 | 0.181074 | 0.260111 | 0.485474 | 0.366892 | 0.370612 | 0.227345 | 0.316019 | 0.193996 | 0.436703 | 0.241932 | 0.387405 | 0.239313 | 0.385804 | 0.301369 | 0.216446 | 0.432807 | 0.097906 | 0.158138 | 0.304606 | -0.024427 | 0.121512 | 0.294266 | 0.337872 | 0.389608 | 0.27582 | 0.211763 | 0.33433 | 0.251817 | 0.126124 | 0.120626 | 0.445325 | 0.148957 | 0.322903 | 0.303292 | 0.31178 | 0.092402 | 0.228229 | 0.44797 | 0.114227 | 0.039928 | 0.278684 | 0.343774 | 0.71331 | 0.400057 | 0.260586 | 0.203239 | 0.250388 | 0.161814 | 0.304842 | 0.495902 | 0.126438 | 0.27868 | 0.339434 | 0.193261 | 0.077987 | -0.002304 | 0.138149 | 0.350651 | 0.207508 | 0.119039 | 0.296257 | 0.148909 | 0.191744 | 0.14957 | 0.228447 | 0.330788 | 0.04623 | 0.283452 | 0.266083 | 0.208423 | 0.267547 | 0.397206 | 0.32925 | 0.451564 | 0.484805 | 0.27931 | 0.380032 | -0.05025 | 0.02896 | -0.027316 | 0.207282 | 0.218444 | 0.177457 | 0.214045 | 0.121199 | 0.087453 | 0.446594 | 0.128844 | 0.383068 | 0.079068 | -0.022818 | 0.461264 | 0.450153 | 0.277224 | 0.179225 | 0.084299 | 0.14054 | 0.219879 | 0.116832 | 0.270062 | 0.266893 | 0.192923 | 0.261368 | 0.286331 | 0.573653 | 0.172891 | 0.574115 | 0.273721 | 0.595119 | 0.224501 | 0.495741 | 0.153468 | 0.458478 | 0.248184 | 0.306403 | 0.346651 | -0.176976 | 0.309377 | 0.504742 | 0.058469 | 0.484752 | 0.54223 | -0.10291 | 0.261684 | 0.127 | 0.401399 | 0.11254 | 0.330466 | 0.37036 | 0.280007 | 0.690624 | 0.160053 | 0.21213 | 0.103857 | 0.147697 | 0.68177 | 0.50922 | 0.220677 | 0.363977 | 0.239547 | 0.3992 | 0.401331 | 0.232294 | 0.34722 | 0.238462 | 0.256736 | 0.240842 | 0.350744 | 0.440581 | 0.180836 | 0.14432 | 0.721836 | 0.173582 | 0.240041 | 0.508824 | 0.343533 | 0.215992 | -0.114607 | 0.38934 | 0.556679 | 0.132113 | 0.344422 | 0.483224 | 0.07685 | 0.151705 | 0.373693 | 0.37251 | 0.219247 | -0.116641 | 0.503521 | 0.138976 | 0.115308 | 0.304 | 0.243509 | 0.605133 | 0.51583 | 0.271824 | 0.473156 | 0.330574 | 0.187549 | 0.07139 | 0.242055 | 0.389109 | 0.351487 | 0.237984 | 0.470757 | 0.065094 | 0.220688 | 0.178947 | 0.541108 | 0.045338 | 0.010023 | 0.49782 | -0.088873 | 0.403655 | 0.367795 | 0.002176 | 0.280861 | 0.266143 | 0.181212 | 0.57845 | 0.404259 | 0.157877 | 0.003436 | 0.615595 | 0.358439 | 0.46788 | 0.173536 | 0.135104 | 0.271814 | 0.358804 | 0.448882 | 0.168842 | 0.232031 | 0.262755 | 0.171134 | 0.327243 | 0.462394 | 0.331562 | 0.190074 | 0.236067 | 0.111155 | 0.348426 | 0.017178 | 0.175806 | 0.049862 | 0.253248 | 0.389258 | 0.223567 | 0.017226 | 0.376315 | 0.17805 | 0.171448 | 0.357965 | 0.092201 | 0.198602 | 0.423242 | 0.151793 | 0.157939 | 0.074944 | 0.522548 | 0.320701 | 0.361045 | 0.234611 | 0.23539 | 0.29184 | 0.106249 | 0.217188 | 0.366806 | 0.217643 | 0.194763 | 0.1016 | 0.529742 | 0.271994 | 0.196291 | 0.325034 | 0.350152 | 0.115552 | -0.125229 | 0.176085 | 0.469616 | 0.379596 | 0.230078 | 0.546375 | 0.307933 | 0.182241 | 0.047016 | 0.395481 | 0.336607 | 0.368791 | -0.073841 | 0.200313 | 0.32618 | -0.063747 | -0.096666 | 0.369595 | 0.346389 | 0.191154 | 0.278831 | 0.616835 | -0.188749 | 0.370587 | 0.232028 | 0.185603 | 0.298212 | -0.040199 | 0.169144 | 0.127155 | 0.346596 | 0.216996 | 0.154281 | 0.157962 | 0.354789 | -0.008231 | 0.569175 | -0.225626 | 0.170338 |
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0.080766 | 0.180427 | 0.310914 | 0.208886 | 0.11662 | -0.391405 | 0.337015 | 0.043241 | -0.134837 | 0.126021 | 0.037365 | 0.014831 | 0.02027 | 0.414085 | 0.264191 | 0.237784 | 0.246406 | -0.147078 | 0.212576 | -0.089406 | -0.364516 | 0.202338 | -0.397308 | -0.052903 | -0.412905 | -0.240427 | -0.156202 | 0.242751 | -0.263851 | -0.311185 | -0.007423 | -0.407981 | -0.04113 | -0.113653 | 0.140468 | -0.155637 | 0.241712 | -0.128844 | 0.286827 | 0.290942 | 0.099353 | 0.297065 | -0.20669 | -0.56814 | -0.260804 | -0.136731 | -0.455914 | 0.458644 | 0.013655 | 0.185487 | 0.086311 | -0.485644 | -0.0215 | 0.07453 | 0.050985 | 0.056452 | 0.078148 | 0.054067 | 0.232159 | -0.14399 | -0.279584 | -0.200689 | 0.401229 | -0.144458 | -0.077355 | -0.341618 | 0.07832 | -0.167857 | -0.00749 | -0.145156 | -0.207618 | 0.440081 | 0.151287 | 0.086776 | 0.003076 | -0.266631 | -0.288949 | -0.267724 | -0.383215 | 0.298372 | -0.169811 | -0.489317 | 0.374102 | -0.038216 | -0.190377 | -0.216605 | 0.044378 | 0.213621 | 0.176192 | 0.023816 | -0.078088 | 0.366121 | 0.183266 | -0.290411 | -0.414635 | 0.158952 | -0.035885 | -0.141027 | -0.061294 | -0.361299 | 0.0886 | -0.020512 | -0.133809 | 0.126131 | 0.233259 | -0.367592 | 0.179466 | 0.192484 | -0.099224 | -0.105524 | 0.302222 | 0.001938 | -0.069498 | -0.244638 | 0.287347 | 0.039965 | -0.261994 | 0.046245 | -0.127731 | 0.075924 | -0.209308 | 0.145408 | -0.136887 | 0.054845 | 0.029162 | -0.026975 | -0.018597 | 0.069609 | -0.202921 | -0.021146 | 0.089251 | 0.123658 | 0.26311 | 0.107968 | -0.1035 | -0.005398 | -0.062331 | -0.151928 | 0.388672 | -0.187489 | -0.003738 | -0.424642 | 0.213561 | -0.022201 | -0.395109 | -0.172224 | -0.103808 | -0.264083 | 0.385167 | -0.346249 | 0.126699 | 0.085575 | -0.300383 | 0.089316 | 0.203402 | -0.22431 | 0.280889 | 0.003361 | -0.207298 | -0.001751 | 0.282305 | 0.205092 | 0.21694 | -0.147748 | -0.101069 | -0.04708 | 0.285943 | -0.078678 | -0.169042 | -0.150305 | -0.174391 | -0.06351 | -0.281969 | 0.085523 | 0.13062 | -0.04894 | -0.298529 | -0.126262 | -0.160282 | -0.463062 | -0.058021 | 0.040212 | 0.051325 | -0.082891 | -0.266123 | -0.514333 | -0.133705 | -0.064802 | -0.399789 | 0.131647 | 0.224554 | -0.02202 | 0.172488 | -0.100836 | 0.052228 | -0.215667 | -0.195963 | -0.268251 | -0.007158 | -0.08687 | -0.18936 | -0.256527 | 0.042057 | 0.049259 | 0.221942 | -0.288251 | -0.472108 | -0.331795 | -0.351067 | -0.13466 | -0.073719 | -0.40408 | -0.261378 | -0.048655 | -0.23219 | -0.112162 | -0.149641 | -0.129655 | 0.011213 | 0.222096 | 0.041677 | -0.213759 | -0.325206 | -0.187556 | 0.008517 | -0.129218 | 0.142287 | -0.402796 | -0.353992 | 0.055316 | -0.254855 | -0.074609 | -0.2429 | 0.198326 | -0.061884 | 0.187811 | -0.417491 | -0.088546 | -0.14742 | -0.046013 | 0.128071 | 0.108204 | 0.350744 | -0.11331 | 0.451281 | 0.117286 | -0.075854 | -0.448586 | -0.276532 | 0.029284 | -0.187818 | -0.024067 | -0.147977 | -0.202452 | -0.377934 | 0.219956 | -0.163812 | -0.305807 | -0.308903 | -0.001467 | 0.18801 | -0.118768 | 0.110395 | 0.073989 | -0.053504 | 0.04444 | -0.387843 | -0.013185 | -0.024294 | -0.482922 | -0.240057 | -0.123486 | -0.033603 | 0.046617 | -0.141582 | -0.049489 | -0.102105 | -0.147831 | 0.334433 | -0.12776 | 0.019654 | -0.107908 | -0.099946 | 0.097497 | -0.019583 | 0.057063 | -0.112961 | -0.09865 | 0.025882 | -0.229644 | 0.017106 | -0.021206 | -0.427016 | -0.081795 | -0.087569 | -0.148893 | -0.058419 | 0.03028 | -0.070143 | 0.096901 | -0.254171 | 0.073492 | -0.061882 | 0.028426 | 0.007214 | 0.092331 | -0.043456 | 0.193339 | 0.305009 | 0.002014 | -0.477958 | -0.168982 |
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