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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0.78635 | 0.711179 | 0.840706 | 0.568492 | 0.871385 | 0.680524 | 0.930886 | 0.899275 | 0.788542 | 0.841734 | 0.680073 | 0.926804 | 0.567143 | 0.767039 | 0.723576 | 0.780008 | 0.808181 | 0.96558 | 0.742305 | 0.742261 | 0.722849 | 0.692931 | 1.138576 | 0.815397 | 1.130994 | 0.830506 | 1.028243 | 0.778727 | 0.901095 | 1.025826 | 1.03831 | 0.76441 | 0.59324 | 0.856109 | 0.695169 | 0.814357 | 0.755028 | 1.050669 | 0.831882 | 0.815302 | 0.670727 | 0.732488 | 0.865705 | 1.094056 | 0.807116 | 0.924712 | 0.967855 | 0.81526 | 0.776796 | 0.777225 | 0.832264 | 0.916485 | 0.547253 | 0.809877 | 1.141181 | 0.778971 | 0.785109 | 0.483385 | 0.629272 | 0.75247 | 0.953522 | 0.719783 | 0.537979 | 0.898057 | 0.578823 | 0.921575 | 0.625098 | 0.491893 | 0.868578 | 0.865217 | 0.544297 | 0.732168 | 1.01452 | 0.846454 | 0.682623 | 0.992192 | 1.077813 | 0.85499 | 0.514365 | 0.764402 | 0.860255 | 0.977877 | 0.43721 | 0.472659 | 0.718811 | 0.823722 | 0.665085 | 0.848548 | 1.00329 | 1.129851 | 0.878356 | 0.749323 | 0.558039 | 1.014727 | 0.760877 | 0.811121 | 0.782831 | 0.908993 | 0.858159 | 0.809826 | 1.160804 | 0.96434 | 1.010354 | 0.823011 | 1.031795 | 0.883938 | 0.721651 | 1.055186 | 0.827769 | 1.104694 | 0.784244 | 0.962583 | 0.708893 | 0.738463 | 0.662461 | 0.753641 | 0.662641 | 0.824139 | 0.893927 | 0.919964 | 0.683778 | 0.916075 | 0.7726 | 0.847102 | 0.747762 | 0.857796 | 0.810669 | 0.778764 | 0.904469 | 1.000936 | 0.772263 | 0.94679 | 0.882679 | 1.186485 | 0.698247 | 0.93763 | 0.891354 | 0.881162 | 0.805652 | 0.547964 | 0.954458 | 0.862056 | 0.917252 | 0.616084 | 0.405154 | 0.789667 | 1.090423 | 0.886081 | 0.538389 | 0.779297 | 0.538717 | 1.099032 | 0.614883 | 0.769602 | 0.53632 | 0.835435 | 0.753123 | 1.001479 | 0.895866 | 0.470893 | 0.802539 | 0.64219 | 0.658998 | 0.747669 | 0.681672 | 0.671681 | 0.963242 | 0.721518 | 0.724876 | 1.045349 | 0.479909 | 0.653743 | 0.806809 | 0.854244 | 0.778055 | 0.484321 | 0.865862 | 0.775605 | 0.785622 | 1.022622 | 0.980564 | 0.838086 | 0.758488 | 0.665992 | 0.836647 | 1.041616 | 0.994233 | 0.955371 | 0.972201 | 0.507716 | 0.856798 | 0.95435 | 0.951507 | 0.882061 | 0.865004 | 0.635966 | 0.814561 | 0.758233 | 0.863123 | 0.784924 | 1.053957 | 0.809635 | 0.837982 | 1.009021 | 0.668398 | 0.868782 | 0.556649 | 1.134264 | 0.752404 | 0.876507 | 1.109 | 0.805164 | 0.694344 | 0.936964 | 0.966656 | 0.825635 | 0.954509 | 1.254727 | 0.90106 | 0.626442 | 0.758362 | 0.882421 | 0.748951 | 0.8729 | 0.835014 | 0.819146 | 0.826993 | 1.038806 | 0.850766 | 1.152736 | 0.714998 | 0.779042 | 1.190917 | 0.806456 | 0.888918 | 0.640009 | 1.00679 | 1.166789 | 0.788137 | 0.787462 | 0.870335 | 0.599875 | 0.824474 | 1.014721 | 0.60215 | 0.734324 | 0.645804 | 0.701179 | 0.972118 | 0.78887 | 0.903215 | 0.832229 | 1.024306 | 0.708208 | 0.914599 | 1.006948 | 1.00829 | 0.847025 | 0.841048 | 0.774123 | 0.466369 | 0.663929 | 0.835618 | 0.956112 | 0.747825 | 0.705541 | 0.67576 | 0.929686 | 0.865795 | 0.696501 | 0.894177 | 0.897121 | 1.326286 | 0.475337 | 0.709993 | 0.943976 | 0.830985 | 0.899692 | 0.551641 | 0.771344 | 1.038661 | 0.699597 | 0.786069 | 0.951284 | 0.659826 | 0.553546 | 0.797978 | 0.947887 | 0.847258 | 1.113368 | 0.794883 | 0.902443 | 0.97305 | 0.898202 | 0.801901 | 0.621287 | 0.845412 | 0.74091 | 0.820808 | 0.88284 | 0.763316 | 0.781268 | 1.073937 | -0.022867 | 0.812742 | 0.983781 | 0.724593 | 0.813137 | 0.566444 | 0.774594 | 0.885129 | 0.995945 |
0.257066 | 0.460805 | 0.290717 | -0.16369 | 0.331248 | 0.305656 | 0.663466 | 0.30813 | 0.230122 | 0.175265 | 0.548922 | 0.266487 | 0.155003 | 0.060455 | 0.113997 | 0.045974 | 0.363608 | 0.433328 | 0.216051 | 0.226596 | 0.11547 | 0.363406 | 0.640507 | 0.341216 | 0.258244 | 0.424393 | 0.188306 | 0.140484 | 0.27571 | 0.574983 | 0.271134 | 0.460499 | 0.448927 | 0.969592 | 0.341589 | 0.484906 | 0.270508 | 0.366397 | 0.318371 | -0.035856 | 0.209602 | 0.746872 | 0.403793 | 0.565414 | 0.097034 | 0.337714 | 0.600019 | 0.25837 | 0.311424 | 0.269449 | 0.461194 | 0.43013 | 0.357362 | -0.132139 | 0.905043 | 0.508225 | 0.426879 | 0.315911 | 0.712233 | 0.269319 | 0.684394 | -0.112362 | 0.496195 | 0.329986 | 0.362129 | 0.110599 | 0.262866 | 0.497232 | 0.468323 | 0.504002 | 0.059967 | 0.398409 | 0.651893 | 0.314119 | 0.303229 | 0.683675 | 0.274402 | 0.132197 | 0.373405 | 0.293627 | 0.558076 | 0.622122 | 0.356836 | 0.478156 | 0.835512 | 0.126045 | 0.296257 | 0.153586 | 0.443679 | 0.450494 | 0.542391 | 0.508839 | 0.254791 | 0.422334 | 0.425916 | 0.513632 | 0.590629 | 0.286794 | 0.423852 | 0.332144 | 0.977502 | -0.219489 | 0.326221 | 0.06003 | 0.122238 | 0.51399 | 0.615096 | 0.270707 | 0.668684 | 0.482412 | 0.668794 | 0.340319 | 0.643343 | 0.61881 | 0.577046 | 0.327496 | 0.396266 | 0.152653 | 0.365864 | 0.425466 | -0.073961 | 0.642216 | 0.542681 | 0.435996 | 0.284474 | 0.483159 | 0.175838 | -0.012127 | 1.063288 | 0.023931 | 0.181406 | 0.502118 | 0.22268 | 0.541713 | 0.493062 | 0.324315 | 0.294235 | 0.58571 | 0.585552 | 0.310875 | 0.684305 | 0.360438 | 0.046541 | 0.587253 | 0.408708 | 0.477173 | 0.330573 | 0.154282 | 0.374922 | 0.588683 | 0.426923 | 0.047813 | 0.533348 | 0.339285 | 0.609837 | 0.445148 | 0.268199 | -0.020102 | 0.589983 | 0.093403 | 0.092027 | 1.031999 | 0.668684 | 0.640364 | 0.253158 | 0.861053 | 0.2476 | 0.743224 | 0.746528 | 0.625508 | 0.390081 | 0.946746 | 0.245977 | 0.58953 | 0.291389 | 0.954283 | 0.512857 | 0.72388 | 0.331659 | 0.498827 | 0.853695 | -0.17949 | 0.177002 | 0.678259 | 0.730199 | 0.498444 | 0.567662 | 0.67797 | 0.573382 | 0.749728 | 0.615966 | 0.666643 | 0.703502 | 0.474137 | 0.579578 | 0.639074 | 0.52439 | 0.388614 | 0.343447 | -0.139095 | 0.865195 | 0.414963 | 0.202097 | 0.211302 | 0.226696 | 0.184747 | 1.002544 | 0.291893 | 0.364494 | 0.115355 | 0.50581 | 0.650022 | 0.510324 | 0.698813 | 0.632653 | 0.201091 | 0.101979 | 0.434737 | 0.23401 | 0.355175 | 0.705637 | 0.600869 | 0.30166 | 0.502391 | 0.299143 | 0.557615 | 0.469916 | 0.47059 | 0.403762 | 0.303322 | 0.439787 | 0.291888 | 0.283436 | 0.606419 | 0.600341 | 0.814336 | 0.177853 | 0.526554 | 0.572075 | 0.514 | 0.418482 | 0.481537 | 0.026322 | 0.621707 | 0.778915 | 1.035502 | 0.216333 | 0.457275 | 0.787256 | 0.375606 | 0.799494 | 0.404011 | 0.553585 | 1.042672 | 0.543385 | 0.759645 | 0.466587 | 0.43599 | 0.130676 | 0.4953 | 0.39869 | 0.661542 | 0.122306 | 0.694406 | 0.265575 | 0.553856 | 0.518498 | 0.573892 | 0.27767 | 0.768811 | 0.398163 | 0.650349 | 0.18704 | 0.565289 | 0.55572 | 0.333966 | 0.465139 | 0.503026 | 0.648155 | 0.58743 | 0.324906 | 0.338874 | 0.465268 | 0.286662 | 0.680874 | 0.619752 | 0.40812 | 0.748191 | 0.338413 | 0.281925 | 0.671384 | 0.810848 | 0.528043 | 0.651664 | 0.364945 | 0.255869 | 0.5317 | 0.596666 | 0.508581 | 0.433832 | 0.754143 | 0.264606 | 0.674249 | 0.277502 | 0.316474 | 0.311113 | 0.130923 | 0.425865 | 0.71624 | 0.449874 | 0.380835 | 0.571623 |
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1.221918 | 1.190638 | 1.365551 | 1.026807 | 0.980012 | 1.25873 | 1.237413 | 1.136033 | 1.526546 | 1.15009 | 1.097696 | 1.353976 | 1.513211 | 1.098403 | 1.360816 | 0.978074 | 0.710925 | 1.111729 | 0.90588 | 1.121831 | 1.408979 | 1.311351 | 1.253506 | 1.029127 | 0.868838 | 0.970131 | 1.340245 | 1.006169 | 1.447889 | 1.37136 | 1.185737 | 0.930305 | 1.05181 | 1.1453 | 0.815822 | 1.176244 | 0.828733 | 1.078756 | 1.322166 | 1.103828 | 1.313766 | 1.308517 | 1.429293 | 0.453947 | 1.096929 | 0.929524 | 0.770385 | 1.122465 | 1.007638 | 1.193378 | 1.150154 | 0.985194 | 1.627785 | 1.088829 | 0.896789 | 1.000338 | 0.990496 | 1.049062 | 1.410749 | 1.044918 | 1.159431 | 0.948985 | 0.84759 | 1.024234 | 1.053038 | 1.249718 | 0.923713 | 1.228696 | 1.309974 | 0.985618 | 1.168205 | 0.832135 | 1.409066 | 1.242829 | 0.824716 | 1.150799 | 0.785412 | 1.328473 | 0.882685 | 0.861929 | 0.787795 | 1.203601 | 0.779465 | 0.948721 | 0.76368 | 0.958926 | 1.041872 | 1.250681 | 0.86772 | 1.248303 | 0.822526 | 0.977841 | 0.803266 | 1.346655 | 1.274404 | 1.17864 | 1.258685 | 1.151879 | 1.267738 | 1.128786 | 0.977613 | 0.866419 | 1.077581 | 1.091369 | 0.608069 | 0.80356 | 0.916323 | 1.289629 | 1.182074 | 0.70028 | 1.389364 | 1.074919 | 0.831232 | 0.970559 | 0.983838 | 1.067613 | 1.487799 | 1.480116 | 1.259358 | 0.816597 | 1.348709 | 1.09512 | 0.394982 | 0.802415 | 1.000549 | 1.014125 | 0.992046 | 1.348268 | 1.211723 | 1.213832 | 1.324166 | 1.148986 | 1.03448 | 0.790396 | 0.951754 | 1.18371 | 0.947183 | 1.001116 | 1.51074 | 1.213355 | 0.861202 | 1.35993 | 1.076946 | 0.96348 | 1.060044 | 1.135806 | 0.992938 | 0.783193 | 0.858677 | 1.257412 | 1.273197 | 0.647703 | 1.001723 | 0.890458 | 1.110722 | 1.459514 | 0.53872 | 0.891853 | 1.06416 | 1.483008 | 1.060555 | 0.959686 | 1.12118 | 0.80095 | 1.343433 | 0.609097 | 1.071028 | 0.624824 | 1.221496 | 1.15299 | 0.952495 | 0.731465 | 1.325736 | 0.793217 | 0.888433 | 0.760055 | 0.920853 | 0.973359 | 1.470967 | 1.149136 | 0.497077 | 1.022906 | 1.23698 | 1.191303 | 1.093615 | 0.781028 | 1.423998 | 0.681998 | 1.177218 | 0.781516 | 0.751859 | 1.282813 | 0.729514 | 0.896351 | 1.135628 | 1.023277 | 0.951146 | 0.467794 | 1.4414 | 1.405378 | 1.283136 | 1.234535 | 0.699649 | 0.282188 | 0.930212 | 1.204617 | 0.394532 | 0.891018 | 0.997984 | 1.137842 | 1.257155 | 0.878714 | 0.881995 | 1.065629 | 0.838019 | 1.177419 | 1.274427 | 1.165041 | 1.457675 | 1.114467 | 1.02301 | 1.231099 | 0.767984 | 0.90017 | 1.240874 | 1.093159 | 0.715252 | 1.040018 | 0.980004 | 0.538757 | 0.539096 | 1.072073 | 1.184569 | 1.177489 | 1.207115 | 1.123137 | 1.149035 | 0.528536 | 0.971076 | 1.355333 | 1.258797 | 0.570221 | 1.088465 | 0.836652 | 0.931862 | 0.772517 | 1.52772 | 0.866388 | 0.686305 | 0.998445 | 0.653961 | 1.214996 | 1.071699 | 0.621317 | 1.173572 | 1.15059 | 0.208424 | 0.680941 | 0.608167 | 1.221859 | 0.929439 | 1.018722 | 0.765865 | 1.351552 | 0.786742 | 1.273798 | 1.273747 | 1.071356 | 1.802179 | 0.989423 | 0.849814 | 0.772917 | 1.414059 | 0.654428 | 1.322462 | 1.397653 | 1.07092 | 1.018418 | 0.879828 | 0.765708 | 1.368381 | 1.165962 | 1.326647 | 1.31423 | 1.305953 | 1.025763 | 1.217912 | 1.272585 | 1.219719 | 1.34586 | 1.082522 | 0.831231 | 0.583654 | 0.91703 | 0.987059 | 1.216343 | 0.61486 | 1.519171 | 1.250974 | 1.185169 | 1.382299 | 1.182143 | 1.083115 | 1.001757 | 1.398373 | 0.913399 | 1.067961 | 1.219945 | 1.169126 | 1.025148 | 1.406514 | 1.1537 |
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