Search is not available for this dataset
how-to-train
float64 -0.11
0.29
| how-to-generate
float64 -0.09
0.28
| reformer
float64 -0.1
0.25
| pytorch_block_sparse
float64 -0.09
0.26
| encoder-decoder
float64 -0.1
0.23
| ray-tune
float64 -0.09
0.26
| porting-fsmt
float64 -0.09
0.3
| warm-starting-encoder-decoder
float64 -0.08
0.24
| accelerated-inference
float64 -0.08
0.29
| zero-deepspeed-fairscale
float64 -0.08
0.27
| tf-serving
float64 -0.1
0.24
| pytorch-xla
float64 -0.08
0.28
| ray-rag
float64 -0.1
0.28
| simple-considerations
float64 -0.1
0.28
| long-range-transformers
float64 -0.1
0.26
| fine-tune-wav2vec2-english
float64 -0.09
0.25
| how-to-deploy-a-pipeline-to-google-clouds
float64 -0.08
0.27
| the-partnership-amazon-sagemaker-and-hugging-face
float64 -0.08
0.24
| big-bird
float64 -0.09
0.25
| sagemaker-distributed-training-seq2seq
float64 -0.09
0.26
| accelerate-library
float64 -0.1
0.28
| bert-cpu-scaling-part-1
float64 -0.09
0.23
| gradio
float64 -0.09
0.26
| few-shot-learning-gpt-neo-and-inference-api
float64 -0.1
0.27
| sentence-transformers-in-the-hub
float64 -0.09
0.24
| deploy-hugging-face-models-easily-with-amazon-sagemaker
float64 -0.08
0.26
| spacy
float64 -0.08
0.26
| collaborative-training
float64 -0.11
0.24
| hardware-partners-program
float64 -0.09
0.28
| graphcore
float64 -0.08
0.26
| summer-at-huggingface
float64 -0.08
0.27
| gradio-spaces
float64 -0.09
0.27
| streamlit-spaces
float64 -0.1
0.28
| fine-tune-clip-rsicd
float64 -0.09
0.26
| the-age-of-ml-as-code
float64 -0.11
0.25
| 1b-sentence-embeddings
float64 -0.09
0.26
| large-language-models
float64 -0.11
0.24
| course-launch-event
float64 -0.09
0.29
| bert-cpu-scaling-part-2
float64 -0.09
0.25
| fine-tune-xlsr-wav2vec2
float64 -0.09
0.26
| accelerating-pytorch
float64 -0.1
0.25
| data-measurements-tool
float64 -0.1
0.25
| graphcore-getting-started
float64 -0.09
0.27
| snowball-fight
float64 -0.09
0.23
| codeparrot
float64 -0.1
0.27
| perceiver
float64 -0.08
0.23
| gradio-joins-hf
float64 -0.09
0.26
| autonlp-prodigy
float64 -0.09
0.28
| gptj-sagemaker
float64 -0.08
0.28
| wav2vec2-with-ngram
float64 -0.09
0.26
| infinity-cpu-performance
float64 -0.09
0.27
| sb3
float64 -0.09
0.24
| searching-the-hub
float64 -0.09
0.28
| asr-chunking
float64 -0.09
0.26
| sentiment-analysis-python
float64 -0.1
0.23
| fine-tune-vit
float64 -0.09
0.28
| bert-101
float64 -0.09
0.24
| constrained-beam-search
float64 -0.08
0.27
| image-search-datasets
float64 -0.08
0.27
| bert-inferentia-sagemaker
float64 -0.09
0.26
| fine-tune-segformer
float64 -0.09
0.28
| ai-residency
float64 -0.09
0.24
| meg-mitchell-interview
float64 -0.09
0.23
| decision-transformers
float64 -0.1
0.26
| transformers-design-philosophy
float64 -0.09
0.26
| habana
float64 -0.08
0.27
| lewis-tunstall-interview
float64 -0.09
0.24
| carbon-emissions-on-the-hub
float64 -0.1
0.26
| supercharge-customer-service-with-machine-learning
float64 -0.11
0.28
| education
float64 -0.09
0.26
| getting-started-habana
float64 -0.09
0.27
| ml-director-insights
float64 -0.12
0.28
| opinion-classification-with-kili
float64 -0.11
0.28
| pytorch-fsdp
float64 -0.1
0.25
| deep-rl-intro
float64 -0.09
0.23
| fastai
float64 -0.08
0.23
| series-c
float64 -0.1
0.22
| optimum-inference
float64 -0.09
0.26
| ambassadors
float64 -0.08
0.27
| ml-director-insights-2
float64 -0.09
0.28
| gradio-blocks
float64 -0.09
0.25
| fellowship
float64 -0.08
0.27
| sasha-luccioni-interview
float64 -0.09
0.22
| deep-rl-q-part1
float64 -0.09
0.24
| ethical-charter-multimodal
float64 -0.11
0.25
| sempre-health-eap-case-study
float64 -0.12
0.29
| deep-rl-q-part2
float64 -0.09
0.25
| tapex
float64 -0.09
0.28
| community-update
float64 -0.11
0.23
| graphcore-update
float64 -0.09
0.26
| deep-rl-dqn
float64 -0.1
0.28
| annotated-diffusion
float64 -0.11
0.26
| ml-director-insights-3
float64 -0.1
0.28
| intel
float64 -0.1
0.24
| convert-transformers-to-onnx
float64 -0.09
0.27
| getting-started-with-embeddings
float64 -0.11
0.27
| eval-on-the-hub
float64 -0.09
0.26
| accelerate-deepspeed
float64 -0.1
0.25
| your-first-ml-project
float64 -0.09
0.26
| deep-rl-pg
float64 -0.11
0.26
| sentiment-analysis-twitter
float64 -0.08
0.24
| bloom
float64 -0.1
0.22
| playlist-generator
float64 -0.09
0.29
| bloom-megatron-deepspeed
float64 -0.08
0.3
| mnist-adversarial
float64 -0.09
0.26
| deep-rl-a2c
float64 -0.09
0.27
| tf-serving-vision
float64 -0.09
0.28
| tf-xla-generate
float64 -0.09
0.26
| datasets-docs-update
float64 -0.08
0.25
| us-national-ai-research-resource
float64 -0.1
0.25
| nystromformer
float64 -0.08
0.27
| introducing-private-hub
float64 -0.09
0.26
| deep-rl-ppo
float64 -0.1
0.26
| how-to-train-sentence-transformers
float64 -0.09
0.27
| deploy-tfserving-kubernetes
float64 -0.09
0.28
| tensorflow-philosophy
float64 -0.09
0.29
| skops
float64 -0.09
0.25
| hf-bitsandbytes-integration
float64 -0.09
0.28
| vision-transformers
float64 -0.1
0.26
| deploy-vertex-ai
float64 -0.09
0.28
| pretraining-bert
float64 -0.1
0.26
| stable_diffusion
float64 -0.1
0.28
| spaces_3dmoljs
float64 -0.09
0.23
| open_rail
float64 -0.12
0.26
| train-decision-transformers
float64 -0.1
0.27
| diffusers-2nd-month
float64 -0.09
0.27
| megatron-training
float64 -0.09
0.28
| bloom-inference-pytorch-scripts
float64 -0.1
0.26
| ethics-soc-1
float64 -0.12
0.25
| setfit
float64 -0.1
0.27
| accelerate-large-models
float64 -0.1
0.27
| autotrain-image-classification
float64 -0.1
0.24
| zero-shot-eval-on-the-hub
float64 -0.1
0.26
| japanese-stable-diffusion
float64 -0.1
0.26
| introducing-doi
float64 -0.09
0.21
| bloom-inference-optimization
float64 -0.1
0.27
| stable_diffusion_jax
float64 -0.08
0.27
| inference-endpoints
float64 -0.09
0.26
| mteb
float64 -0.09
0.22
| pytorch-ddp-accelerate-transformers
float64 -0.1
0.27
| evaluating-llm-bias
float64 -0.1
0.27
| openvino
float64 -0.09
0.25
| fine-tune-whisper
float64 -0.09
0.25
| dreambooth
float64 -0.09
0.3
| pricing-update
float64 -0.11
0.22
| introducing-csearch
float64 -0.11
0.25
| sentiment-analysis-fhe
float64 -0.09
0.27
| arxiv
float64 -0.09
0.24
| ml-director-insights-4
float64 -0.09
0.27
| inference-update
float64 -0.08
0.25
| document-ai
float64 -0.1
0.27
| diffusion-models-event
float64 -0.11
0.24
| interns-2023
float64 -0.1
0.2
| vq-diffusion
float64 -0.1
0.25
| time-series-transformers
float64 -0.08
0.23
| diffusers-coreml
float64 -0.09
0.26
| deep-learning-with-proteins
float64 -0.1
0.26
| elixir-bumblebee
float64 -0.09
0.28
| rlhf
float64 -0.11
0.27
| habana-gaudi-2-benchmark
float64 -0.1
0.25
| audio-datasets
float64 -0.11
0.23
| ethics-soc-2
float64 -0.09
0.26
| model-cards
float64 -0.11
0.23
| clipseg-zero-shot
float64 -0.09
0.27
| intel-sapphire-rapids
float64 -0.09
0.29
| ml-for-games-1
float64 -0.09
0.27
| intro-graphml
float64 -0.1
0.21
| ml-for-games-2
float64 -0.1
0.27
| image-similarity
float64 -0.1
0.25
| paddlepaddle
float64 -0.09
0.25
| mask2former
float64 -0.09
0.24
| ml-for-games-3
float64 -0.11
0.28
| optimum-onnxruntime-training
float64 -0.09
0.26
| dialog-agents
float64 -0.1
0.28
| lora
float64 -0.09
0.28
| ml-for-games-4
float64 -0.09
0.28
| cv_state
float64 -0.09
0.27
| vision_language_pretraining
float64 -0.1
0.27
| intel-sapphire-rapids-inference
float64 -0.09
0.27
| aivsai
float64 -0.1
0.24
| ml-for-games-5
float64 -0.1
0.26
| speecht5
float64 -0.09
0.24
| peft
float64 -0.08
0.25
| mantis-case-study
float64 -0.1
0.27
| blip-2
float64 -0.09
0.25
| aws-partnership
float64 -0.1
0.25
| fast-mac-diffusers
float64 -0.1
0.27
| red-teaming
float64 -0.12
0.27
| classification-use-cases
float64 -0.09
0.29
| ethics-diffusers
float64 -0.1
0.28
| controlnet
float64 -0.1
0.29
| using-ml-for-disasters
float64 -0.09
0.28
| vit-align
float64 -0.1
0.21
| trl-peft
float64 -0.09
0.28
| informer
float64 -0.09
0.23
| notebooks-hub
float64 -0.09
0.27
| train-your-controlnet
float64 -0.11
0.26
| fl-with-flower
float64 -0.09
0.28
| stable-diffusion-inference-intel
float64 -0.1
0.25
| habana-gaudi-2-bloom
float64 -0.09
0.27
| ethics-soc-3
float64 -0.11
0.27
| stackllama
float64 -0.11
0.26
| snorkel-case-study
float64 -0.1
0.27
| owkin-substra
float64 -0.1
0.28
| graphml-classification
float64 -0.09
0.26
| accelerate-transformers-with-inferentia2
float64 -0.09
0.27
| unity-in-spaces
float64 -0.11
0.26
| chinese-language-blog
float64 -0.09
0.21
| databricks-case-study
float64 -0.09
0.24
| tf_tpu
float64 -0.09
0.27
| if
float64 -0.09
0.28
| unity-api
float64 -0.11
0.24
| starcoder
float64 -0.09
0.26
| text-to-video
float64 -0.1
0.24
| starchat-alpha
float64 -0.1
0.29
| assisted-generation
float64 -0.09
0.28
| rwkv
float64 -0.09
0.25
| chatbot-amd-gpu
float64 -0.09
0.27
| generative-ai-models-on-intel-cpu
float64 -0.09
0.28
| dedup
float64 -0.12
0.25
| instruction-tuning-sd
float64 -0.11
0.26
| safetensors-security-audit
float64 -0.09
0.31
| huggingface-and-ibm
float64 -0.09
0.27
| hugging-face-endpoints-on-azure
float64 -0.1
0.25
| 4bit-transformers-bitsandbytes
float64 -0.09
0.27
| train-optimize-sd-intel
float64 -0.09
0.26
| bertopic
float64 -0.1
0.26
| sagemaker-huggingface-llm
float64 -0.09
0.26
| cnil
float64 -0.1
0.26
| game-jam
float64 -0.1
0.23
| unity-asr
float64 -0.1
0.27
| falcon
float64 -0.09
0.26
| fasttext
float64 -0.09
0.24
| hub-duckdb
float64 -0.09
0.25
| hf-hub-glam-guide
float64 -0.09
0.27
| llm-leaderboard
float64 -0.09
0.27
| huggingface-and-amd
float64 -0.09
0.25
| content-guidelines-update
float64 -0.09
0.23
| livebook-app-deployment
float64 -0.08
0.28
| fast-diffusers-coreml
float64 -0.09
0.27
| autoformer
float64 -0.09
0.22
| policy-ntia-rfc
float64 -0.11
0.28
| mms_adapters
float64 -0.1
0.26
| panel-on-hugging-face
float64 -0.09
0.25
| evaluating-mmlu-leaderboard
float64 -0.09
0.26
| ethics-soc-4
float64 -0.1
0.25
| bridgetower
float64 -0.08
0.28
| writer-case-study
float64 -0.11
0.26
| text-to-webapp
float64 -0.08
0.28
| inference-endpoints-llm
float64 -0.09
0.27
| ml-web-games
float64 -0.09
0.28
| stable-diffusion-finetuning-intel
float64 -0.08
0.28
| os-llms
float64 -0.09
0.27
| ai-webtv
float64 -0.1
0.26
| llama2
float64 -0.09
0.25
| diffusers-turns-1
float64 -0.09
0.27
| game-jam-first-edition-results
float64 -0.09
0.25
| agents-js
float64 -0.11
0.27
| eu-ai-act-oss
float64 -0.11
0.25
| stable-diffusion-xl-coreml
float64 -0.09
0.26
| sd_distillation
float64 -0.09
0.28
| 3d-assets
float64 -0.09
0.28
| encrypted-llm
float64 -0.08
0.27
| huggy-lingo
float64 -0.09
0.25
| run-musicgen-as-an-api
float64 -0.09
0.24
| swift-coreml-llm
float64 -0.08
0.28
| dpo-trl
float64 -0.1
0.27
| deploy-deepfloydif-using-bentoml
float64 -0.11
0.29
| optimizing-bark
float64 -0.09
0.27
| aws-marketplace
float64 -0.09
0.25
| idefics
float64 -0.09
0.25
| safecoder
float64 -0.1
0.27
| gptq-integration
float64 -0.09
0.28
| password-git-deprecation
float64 -0.09
0.26
| codellama
float64 -0.1
0.25
| audioldm2
float64 -0.1
0.25
| fetch-case-study
float64 -0.1
0.28
| falcon-180b
float64 -0.1
0.25
| t2i-sdxl-adapters
float64 -0.08
0.28
| safecoder-vs-closed-source-code-assistants
float64 -0.1
0.28
| overview-quantization-transformers
float64 -0.09
0.27
| ram-efficient-pytorch-fsdp
float64 -0.09
0.27
| wuerstchen
float64 -0.09
0.28
| optimize-llm
float64 -0.11
0.27
| object-detection-leaderboard
float64 -0.1
0.25
| gaussian-splatting
float64 -0.1
0.28
| rocketmoney-case-study
float64 -0.08
0.29
| inference-pro
float64 -0.1
0.26
| llama-sagemaker-benchmark
float64 -0.08
0.24
| Llama2-for-non-engineers
float64 -0.1
0.28
| trl-ddpo
float64 -0.09
0.26
| ethics-soc-5
float64 -0.12
0.25
| ai-comic-factory
float64 -0.1
0.26
| chat-templates
float64 -0.09
0.27
| sdxl_jax
float64 -0.09
0.26
| ort-accelerating-hf-models
float64 -0.1
0.25
| gradio-lite
float64 -0.09
0.3
| simple_sdxl_optimizations
float64 -0.09
0.28
| the_n_implementation_details_of_rlhf_with_ppo
float64 -0.1
0.26
| inference-endpoints-embeddings
float64 -0.09
0.26
| scalable-data-inspection
float64 -0.1
0.28
| personal-copilot
float64 -0.1
0.3
| researcher-dataset-sharing
float64 -0.09
0.26
| regions
float64 -0.1
0.25
| Lora-for-sequence-classification-with-Roberta-Llama-Mistral
float64 -0.08
0.26
| prodigy-hf
float64 -0.09
0.28
| inferentia-llama2
float64 -0.09
0.28
| lcm_lora
float64 -0.1
0.29
| leaderboard-drop-dive
float64 -0.08
0.27
| lora-adapters-dynamic-loading
float64 -0.1
0.28
| optimum-nvidia
float64 -0.11
0.27
| setfit-absa
float64 -0.11
0.25
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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0.010038 | 0.04153 | 0.051263 | 0.014959 | 0.037284 | 0.038065 | 0.009852 | 0.007802 | 0.03715 | 0.002431 | 0.029444 | 0.011309 | 0.003918 | 0.016205 | 0.041529 | 0.04844 | 0.022463 | -0.001696 | 0.019885 | 0.002433 | -0.006074 | 0.042122 | -0.017572 | 0.007396 | 0.013641 | -0.012954 | 0.030176 | 0.04074 | 0.01935 | 0.029644 | -0.009618 | 0.009695 | 0.017627 | 0.018777 | 0.001718 | 0.038449 | 0.046043 | 0.008738 | 0.043194 | 0.056437 | 0.016496 | -0.030963 | 0.017688 | -0.009706 | 0.010897 | 0.019496 | -0.023372 | 0.026502 | -0.006366 | 0.030201 | 0.029477 | -0.014114 | 0.006384 | 0.070866 | 0.007485 | 0.01579 | 0.065533 | 0.039312 | 0.008412 | 0.020487 | 0.023575 | 0.033744 | 0.026679 | -0.011627 | 0.009521 | 0.005808 | 0.02471 | 0.054242 | 0.048463 | -0.019138 | -0.010586 | 0.007233 | 0.006693 | 0.021324 | -0.010389 | 0.000153 | 0.014098 | 0.030685 | 0.00501 | 0.016722 | -0.008653 | -0.012081 | 0.025282 | 0.006275 | -0.005008 | 0.014047 | 0.02582 | 0.020436 | 0.0185 | 0.014421 | 0.002714 | -0.023969 | 0.032258 | 0.020062 | 0.011382 | 0.022386 | 0.015076 | 0.003948 | 0.028535 | -0.02195 | -0.001561 | 0.039214 | 0.014279 | 0.002139 | -0.014162 | -0.017621 | 0.006027 | 0.042491 | 0.002734 | 0.007002 | 0.022 | 0.005308 | -0.010069 | 0.02599 | 0.019952 | -0.001168 | -0.00495 | 0.024711 | 0.005678 | 0.029727 | -0.010217 | -0.01512 | -0.010967 | -0.014841 | 0.005021 | 0.009347 | 0.018087 | 0.021966 | -0.013059 | -0.012572 | 0.013427 | 0.003406 | -0.001435 | -0.011884 | -0.029914 | 0.014987 | 0.027066 | -0.006586 | 0.035564 | -0.000383 | -0.012054 | 0.002346 | 0.035178 | -0.019789 | 0.044406 | 0.027175 | 0.008558 | -0.018776 | 0.016052 | 0.008414 | 0.033578 | -0.014336 | 0.005129 | -0.01222 | -0.001948 | 0.046893 | 0.026096 | 0.010982 | 0.044995 | 0.001321 | 0.019328 | -0.016151 | 0.009644 | -0.031788 | 0.023921 | -0.004237 | 0.015958 | 0.032873 | -0.007921 | 0.006302 | -0.040023 | 0.007338 | 0.024723 | 0.017713 | 0.004551 | 0.004737 | -0.009126 | 0.010561 | 0.040482 | -0.011484 | 0.028375 | 0.046507 | 0.03424 | 0.021724 | 0.02704 | -0.002241 | 0.028667 | 0.034895 | 0.018542 | -0.038317 | 0.002641 | 0.007122 | 0.014463 | 0.059492 | 0.020126 | 0.021125 | -0.016854 | -0.014139 | 0.004678 | 0.013692 | -0.014142 | 0.028692 | -0.003521 | 0.008065 | 0.029924 | 0.024302 | -0.010818 | 0.012923 | 0.007844 | 0.039288 | 0.022452 | -0.010002 | 0.057682 | 0.01097 | 0.080376 | 0.068123 | 0.0292 | 0.066846 | 0.065187 | 0.008474 | -0.018994 | -0.008979 | 0.007912 | 0.006331 | 0.027456 | 0.019155 | 0.02308 | 0.022701 | 0.005779 | -0.013485 | 0.01326 | 0.013042 | 0.006364 | -0.013109 | -0.001209 | 0.039962 | 0.025098 | 0.014219 | 0.005048 | 0.018943 | 0.004234 | 0.002335 | 0.051706 | -0.011141 | 0.037809 | -0.010974 | 0.017404 | 0.016067 | 0.069776 | 0.01542 | 0.014608 | 0.026474 | 0.027606 | -0.002384 | 0.018428 | 0.001518 | -0.003594 | 0.018051 | 0.023487 | 0.0125 | 0.032059 | -0.009768 | 0.049782 | 0.003276 | 0.027826 | 0.074693 | 0.026364 | -0.000314 | 0.039126 | 0.010452 | 0.007839 | 0.041506 | 0.037094 | -0.018691 | 0.030088 | 0.012917 | 0.040364 | 0.030758 | 0.027469 | 0.026197 | 0.007723 | 0.027818 | 0.019904 | 0.067934 | -0.021769 | -0.019934 | 0.047552 | 0.01523 | 0.041799 | 0.035395 | -0.022274 | -0.002961 | 0.023411 | 0.036191 | 0.035234 | 0.031176 | -0.030911 | 0.035498 | 0.030209 | 0.013795 | -0.009946 | 0.038942 | -0.002789 | 0.008563 | 0.013063 | 0.015127 | 0.012724 | 0.029897 | 0.056375 | -0.018363 | 0.043637 | -0.009949 |
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0.037607 | 0.096267 | 0.086464 | 0.102735 | 0.089784 | 0.085186 | 0.068731 | 0.065411 | 0.081961 | 0.072005 | 0.062251 | 0.079577 | 0.06621 | 0.07367 | 0.080658 | 0.077429 | 0.050087 | 0.049454 | 0.104791 | 0.074863 | 0.084103 | 0.10221 | 0.055863 | 0.08364 | 0.045228 | 0.056719 | 0.062364 | 0.066559 | 0.073337 | 0.079959 | 0.058546 | 0.04186 | 0.040083 | 0.074615 | 0.042536 | 0.069562 | 0.080657 | 0.051061 | 0.112839 | 0.062664 | 0.093767 | 0.05321 | 0.091568 | 0.02535 | 0.075981 | 0.091304 | 0.043575 | 0.037229 | 0.074211 | 0.065583 | 0.088098 | 0.05355 | 0.085598 | 0.076283 | 0.060776 | 0.071044 | 0.081949 | 0.102555 | 0.034771 | 0.10006 | 0.087211 | 0.041517 | 0.055936 | 0.057931 | 0.06485 | 0.07115 | 0.04955 | 0.020097 | 0.075517 | 0.018471 | 0.047253 | 0.048373 | 0.062998 | 0.08998 | 0.044478 | 0.04956 | 0.024099 | 0.072749 | -0.02428 | 0.039892 | 0.051254 | 0.02026 | 0.053375 | 0.052537 | 0.045215 | 0.029291 | 0.054241 | 0.093923 | 0.0243 | 0.051058 | 0.055292 | 0.075781 | 0.025157 | 0.071607 | 0.098837 | 0.054443 | 0.041042 | 0.096806 | 0.048266 | 0.084526 | 0.073263 | 0.029878 | 0.051665 | 0.052335 | 0.07361 | 0.064657 | 0.073965 | 0.085842 | 0.080676 | 0.031586 | 0.111711 | 0.02753 | 0.069856 | 0.06104 | 0.070737 | 0.07851 | 0.055366 | 0.094235 | 0.074352 | 0.063033 | 0.039409 | 0.06832 | 0.051802 | 0.027659 | 0.044563 | 0.079562 | 0.091889 | 0.080575 | 0.024224 | 0.066787 | 0.074503 | 0.066303 | 0.071982 | 0.052185 | 0.014132 | 0.093892 | 0.067676 | 0.05083 | 0.081026 | 0.098992 | 0.056901 | 0.085072 | 0.055228 | 0.072246 | 0.052117 | 0.068765 | 0.045143 | 0.017563 | 0.044804 | 0.067797 | 0.070755 | 0.04925 | 0.030013 | 0.06878 | 0.073192 | 0.06525 | 0.066091 | 0.043888 | 0.050695 | 0.082986 | 0.080457 | 0.046866 | 0.027206 | 0.084311 | 0.107421 | 0.082562 | 0.039598 | 0.107367 | 0.06747 | 0.056287 | 0.050852 | 0.077598 | 0.08326 | 0.080442 | 0.078722 | 0.079412 | 0.061637 | 0.092306 | 0.126002 | 0.023378 | 0.084115 | 0.077748 | 0.093035 | 0.055409 | 0.076704 | 0.025879 | 0.075928 | 0.066725 | 0.065754 | 0.025638 | 0.085282 | 0.039176 | 0.029233 | 0.070626 | 0.101826 | 0.042426 | 0.073787 | 0.064062 | 0.108882 | 0.065219 | 0.004329 | 0.068628 | 0.045157 | 0.045606 | 0.069251 | 0.070317 | 0.046834 | 0.038487 | 0.041206 | 0.086217 | 0.07649 | 0.042534 | 0.06316 | 0.089733 | 0.084327 | 0.096447 | 0.077167 | 0.076174 | 0.095655 | 0.079963 | 0.078119 | 0.050352 | 0.036101 | 0.019956 | 0.051764 | 0.077942 | 0.049461 | 0.058361 | 0.024895 | 0.029499 | 0.085203 | 0.083538 | 0.078278 | 0.065335 | 0.029612 | 0.074421 | 0.077372 | 0.041839 | 0.004307 | 0.096365 | 0.091803 | 0.057889 | 0.067052 | 0.058485 | 0.049169 | 0.031677 | 0.077633 | 0.060757 | 0.064494 | 0.051073 | 0.089869 | 0.091943 | 0.048001 | 0.081856 | 0.059418 | 0.052237 | 0.033704 | 0.047171 | 0.023274 | 0.048904 | 0.069619 | 0.08074 | 0.041088 | 0.026417 | 0.049039 | 0.062106 | 0.041171 | 0.053735 | 0.089239 | 0.027197 | 0.074143 | 0.058805 | 0.076417 | 0.011133 | 0.080257 | 0.086802 | 0.07297 | 0.078811 | 0.10325 | 0.045193 | 0.079509 | 0.105182 | 0.120743 | 0.082249 | 0.091842 | 0.116789 | 0.067873 | 0.061097 | 0.067364 | 0.042563 | 0.069651 | 0.017023 | 0.043971 | 0.095991 | 0.105318 | 0.042994 | 0.064248 | 0.112976 | 0.07343 | 0.053263 | 0.066814 | 0.09585 | 0.033724 | 0.033783 | 0.049765 | 0.033961 | 0.064791 | 0.068481 | 0.059451 | 0.052868 | 0.0908 | 0.083684 |
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0.0093 | -0.000932 | 0.000442 | 0.016273 | 0.029739 | 0.005492 | -0.006905 | 0.029016 | 0.02222 | 0.008357 | -0.014792 | -0.005791 | 0.015415 | 0.030772 | 0.020864 | 0.006554 | 0.018288 | 0.020331 | 0.008021 | 0.015948 | 0.024726 | 0.019029 | 0.008219 | 0.027165 | 0.000973 | 0.005695 | 0.000898 | 0.040382 | 0.008258 | 0.020942 | 0.01018 | 0.002443 | 0.022129 | 0.01102 | 0.024116 | -0.040252 | 0.005006 | -0.005466 | 0.007456 | 0.00997 | 0.031917 | -0.002182 | 0.026873 | 0.031258 | 0.003838 | 0.029727 | -0.008941 | 0.009732 | 0.006971 | 0.010576 | 0.027913 | 0.009097 | 0.000437 | 0.011502 | 0.041924 | 0.008032 | 0.02454 | -0.002797 | -0.019452 | 0.011831 | 0.00323 | -0.001503 | 0.024836 | -0.006702 | 0.024974 | -0.02347 | 0.011608 | 0.003943 | -0.003674 | 0.005674 | -0.027535 | 0.03093 | 0.009815 | 0.025795 | -0.002276 | -0.000922 | -0.002122 | 0.008808 | -0.001634 | 0.00721 | 0.004661 | -0.006562 | 0.009868 | -0.004187 | -0.004257 | -0.009756 | 0.003046 | 0.011125 | 0.007309 | 0.031496 | 0.002706 | -0.002314 | -0.00719 | 0.00486 | -0.002033 | -0.005828 | -0.007474 | 0.012289 | -0.007246 | 0.008806 | 0.011518 | -0.020639 | -0.024957 | 0.017128 | -0.014569 | 0.010578 | 0.013465 | -0.026956 | -0.013614 | 0.016108 | -0.034793 | 0.015838 | 0.022265 | -0.016862 | 0.004929 | 0.020708 | 0.018228 | 0.008072 | 0.019976 | 0.03092 | -0.001257 | 0.045034 | 0.036315 | 0.001157 | -0.007868 | 0.04338 | -0.009821 | 0.012303 | 0.004016 | 0.008767 | -0.01795 | -0.014949 | -0.016566 | 0.005102 | -0.035479 | 0.029146 | 0.021196 | 0.018499 | -0.014327 | 0.024166 | 0.009574 | 0.001959 | 0.033541 | 0.01956 | 0.000318 | 0.00632 | 0.014943 | 0.013553 | -0.004819 | 0.020881 | -0.001596 | -0.021587 | 0.013498 | 0.033976 | 0.02019 | 0.026139 | 0.052183 | 0.036035 | -0.006239 | -0.02889 | 0.003003 | 0.020576 | 0.002448 | -0.010457 | -0.006543 | 0.014226 | 0.038069 | 0.022737 | 0.016797 | 0.00204 | 0.031628 | 0.02825 | -0.000791 | 0.020004 | 0.004496 | 0.011301 | 0.009231 | -0.001847 | 0.025739 | -0.012585 | 0.014872 | 0.024579 | 0.014653 | 0.025422 | 0.007596 | 0.012248 | 0.03132 | -0.007046 | -0.01393 | 0.016 | 0.023075 | -0.023991 | -0.007278 | 0.017298 | 0.010193 | 0.012091 | 0.020724 | 0.01962 | 0.022595 | -0.023059 | 0.014073 | -0.008609 | 0.027245 | 0.047309 | 0.025288 | 0.010114 | 0.014624 | -0.010298 | 0.008938 | 0.014608 | 0.030252 | 0.014511 | -0.007305 | 0.01267 | -0.014436 | 0.01397 | 0.021735 | 0.016757 | -0.030637 | 0.014461 | 0.031788 | -0.001612 | 0.018732 | 0.040436 | -0.004733 | 0.015713 | 0.013389 | 0.004069 | -0.020164 | -0.036509 | -0.008978 | 0.005586 | -0.043908 | 0.019089 | 0.00542 | -0.003792 | 0.017282 | 0.013886 | 0.011609 | -0.019143 | -0.003674 | -0.009917 | -0.008136 | 0.001282 | 0.013652 | -0.005157 | -0.008238 | 0.006359 | -0.011679 | 0.000543 | -0.001815 | 0.010875 | -0.009999 | 0.001029 | -0.010938 | 0.006594 | -0.035457 | -0.041094 | 0.002056 | 0.007397 | 0.015126 | -0.000701 | -0.00446 | -0.000429 | 0.003022 | -0.002598 | -0.011915 | 0.006418 | 0.01165 | -0.003989 | -0.002167 | -0.01048 | -0.001749 | -0.052693 | 0.011939 | -0.023705 | 0.029562 | 0.000251 | -0.006951 | -0.016214 | 0.006534 | 0.023308 | 0.018722 | -0.004322 | 0.036026 | 0.03679 | 0.014076 | -0.000601 | 0.007276 | -0.015675 | -0.014384 | 0.006024 | 0.02066 | -0.013736 | -0.002429 | 0.01671 | -0.023981 | 0.018842 | 0.018264 | -0.01773 | 0.009763 | 0.000685 | 0.008792 | 0.005363 | -0.007188 | -0.019454 | -0.018779 | 0.012255 | 0.004442 | -0.023158 | 0.004189 | -0.005346 |
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