florian-hoenicke
commited on
feat: push custom dataset
Browse files- README.md +40 -0
- samples_eval.jsonl +0 -0
- samples_train.jsonl +0 -0
- topics.txt +629 -0
README.md
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---
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license: apache-2.0
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task_categories:
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- feature-extraction
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- sentence-similarity
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language:
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- en
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- mteb
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- AI
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- Multimodal
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- Cloud-native
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- Enterprise
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- Development
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pretty_name: AI technology solutions
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size_categories:
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- n<1K
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---
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# jina-embeddings-v2-base-en-06052024-6bdu-webapp Dataset
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## Dataset Description
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The dataset is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.
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## Associated Model
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This dataset was used to train the [**jina-embeddings-v2-base-en-06052024-6bdu-webapp**](https://huggingface.co/fine-tuned/jina-embeddings-v2-base-en-06052024-6bdu-webapp) model.
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## How to Use
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To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows:
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```python
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from datasets import load_dataset
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dataset_name = "jina-embeddings-v2-base-en-06052024-6bdu-webapp"
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dataset = load_dataset(dataset_name)
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```
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samples_eval.jsonl
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The diff for this file is too large to render.
See raw diff
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samples_train.jsonl
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The diff for this file is too large to render.
See raw diff
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topics.txt
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A Python vector database
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2 |
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A cloud service
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3 |
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A human-in-the-Loop workflow
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4 |
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A safe place
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5 |
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ACL
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6 |
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AI technology
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7 |
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AIGC applications
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8 |
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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AIGC applications
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40 |
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AIGC applications
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41 |
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AIGC applications
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42 |
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AIGC applications
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43 |
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AIGC applications
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44 |
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API key
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45 |
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Agent techniques
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46 |
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An experimental finetuner
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Applications
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Apps
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Artworks
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Backfire
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Balk
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Ballast
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Ballast Resistor
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Banner
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Baojun
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Beltline
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Bentley
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Benz
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Bertone
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BestBanner
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BharatBenz
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Bi-turbo
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Bi-xenon
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Biodiesel
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Bitter
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Bizzarrini
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Blind
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Blow-off
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Bluetooth
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Bollinger
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Bolt
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Bolwell
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Boost
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Bore
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Borgward
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Bowler
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Brabus
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Brake
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Brilliance
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Bristol
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British
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Brooke
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Brushless
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Brütsch
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Bucket
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Bufori
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Bugatti
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Buick
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Bump
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Bumper
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Bushing
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Butterfly
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Byton
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CLIP
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CLIP-as-service
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Cloud
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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111 |
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Cloud-native
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112 |
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Cloud-native
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113 |
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Cloud-native
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114 |
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Cloud-native
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Cloud-native
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116 |
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Cloud-native
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117 |
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Cloud-native
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118 |
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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127 |
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Cloud-native
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128 |
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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133 |
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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Cloud-native
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139 |
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Cloud-native
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140 |
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Cloud-native
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141 |
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Cloud-native
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142 |
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Cloud-native
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143 |
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Cutting-edge
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144 |
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DALL-E Flow
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145 |
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Data Structure
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146 |
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Database
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147 |
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Deploy
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148 |
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DevGPT
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Developer-friendly
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150 |
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Developers
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151 |
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Development
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152 |
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Disco Diffusion
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153 |
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DiscoArt
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154 |
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DocArray
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155 |
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Domain Specific
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156 |
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Download
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157 |
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Dynamic
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158 |
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E-commerce
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E-learning
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EMNLP
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Earnings
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162 |
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Ease of Use
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163 |
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Easy-to-use
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164 |
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Ecosystem
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165 |
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Edge Computing
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166 |
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Editor
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167 |
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Education
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168 |
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Effectiveness
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Efficiency
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Elasticsearch
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Electron
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Element
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Embed
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Embeddings
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Emotion Recognition
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Empower
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Enable
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Encapsulation
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Encoding
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Encryption
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End-to-End
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Engagement
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Engine
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Enhance
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Enterprise
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Entertainment
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Entity
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Entrepreneur
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Environment
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Ephemeral
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Epic
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Equity
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Erase
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Error Handling
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Estimate
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Ethics
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Evaluate
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Event
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Evolution
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Exabyte
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Exception
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Exchange
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Executable
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Exercise
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Exhibit
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Expand
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Experience
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Expert
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Explain
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Explore
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Export
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Express
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Extend
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Extraction
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FastAPI
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Finetuner
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Flow
|
218 |
+
Framework
|
219 |
+
GPT
|
220 |
+
GPT
|
221 |
+
GPT
|
222 |
+
GPT
|
223 |
+
GPT
|
224 |
+
GPT
|
225 |
+
GPT
|
226 |
+
GPT
|
227 |
+
GPT
|
228 |
+
GPT
|
229 |
+
GPT
|
230 |
+
GPT
|
231 |
+
GPT
|
232 |
+
GPT
|
233 |
+
GPT
|
234 |
+
GPT
|
235 |
+
GPT
|
236 |
+
GPT
|
237 |
+
GPT
|
238 |
+
GPT
|
239 |
+
GPT
|
240 |
+
GPT
|
241 |
+
GPT
|
242 |
+
GPT
|
243 |
+
GPT
|
244 |
+
GPT
|
245 |
+
GPT
|
246 |
+
GPT
|
247 |
+
GPT
|
248 |
+
GPT
|
249 |
+
GPT
|
250 |
+
GPT
|
251 |
+
GPT
|
252 |
+
GPT
|
253 |
+
GPT
|
254 |
+
GPT
|
255 |
+
GPT
|
256 |
+
GPT
|
257 |
+
GPT
|
258 |
+
GPT
|
259 |
+
GPT
|
260 |
+
GPT
|
261 |
+
GPT
|
262 |
+
GPT
|
263 |
+
GPT
|
264 |
+
GPT
|
265 |
+
HBase
|
266 |
+
HD Images
|
267 |
+
HTML5 Canvas
|
268 |
+
HTTP/2
|
269 |
+
HTTP/3
|
270 |
+
HTTPS Encryption
|
271 |
+
Hackathon
|
272 |
+
Haptic Feedback
|
273 |
+
Hard Fork
|
274 |
+
Hardware Acceleration
|
275 |
+
Hash Function
|
276 |
+
Hashing
|
277 |
+
Haskell
|
278 |
+
Headless Browser
|
279 |
+
Heap Allocation
|
280 |
+
Heartbeat Signal
|
281 |
+
Heuristic Analysis
|
282 |
+
High Availability
|
283 |
+
High-Definition
|
284 |
+
High-Dimensional
|
285 |
+
High-Performance Computing
|
286 |
+
High-Quality Enterprise Search
|
287 |
+
Histogram Equalization
|
288 |
+
Homomorphic Encryption
|
289 |
+
Horizontal Scaling
|
290 |
+
Hosted Services
|
291 |
+
Hot Swapping
|
292 |
+
Hybrid Cloud
|
293 |
+
Hybrid Model
|
294 |
+
Hyper-Parameter Tuning
|
295 |
+
Hyper-V
|
296 |
+
Hyperconverged Infrastructure
|
297 |
+
Hyperledger
|
298 |
+
Hyperscale
|
299 |
+
Hypertext Preprocessor
|
300 |
+
Hypervisor
|
301 |
+
IAM (Identity and Access Management)
|
302 |
+
ICML (International Conference on Machine Learning)
|
303 |
+
IPFS (InterPlanetary File System)
|
304 |
+
Image Captioning
|
305 |
+
Image Classification
|
306 |
+
Image Embedding
|
307 |
+
Image Generation
|
308 |
+
Image Recognition
|
309 |
+
Image Segmentation
|
310 |
+
Image-to-Text
|
311 |
+
Immutable Infrastructure
|
312 |
+
Impala
|
313 |
+
Implicit Feedback
|
314 |
+
Import/Export Utility
|
315 |
+
In-Memory Computing
|
316 |
+
Inception Module
|
317 |
+
Incremental Learning
|
318 |
+
Indexing
|
319 |
+
Inference Engine
|
320 |
+
Information Retrieval
|
321 |
+
Infrastructure as Code
|
322 |
+
Ingress Controller
|
323 |
+
Inheritance
|
324 |
+
Initial Coin Offering
|
325 |
+
InkML
|
326 |
+
Input/Output Operations
|
327 |
+
Instance Segmentation
|
328 |
+
Instantiation
|
329 |
+
Instruction Set Architecture
|
330 |
+
Integrated Development Environment
|
331 |
+
Intelligent Document Processing
|
332 |
+
Interactive Query Service
|
333 |
+
Interlingua
|
334 |
+
Internationalization
|
335 |
+
Internet of Things
|
336 |
+
Interoperability
|
337 |
+
Interpretability
|
338 |
+
Intrusion Detection System
|
339 |
+
Inversion of Control
|
340 |
+
IoT Platform
|
341 |
+
Iris Recognition
|
342 |
+
Isomorphic JavaScript
|
343 |
+
Iterative Process
|
344 |
+
JAMstack
|
345 |
+
JCloud
|
346 |
+
JDBC (Java Database Connectivity)
|
347 |
+
JPEG 2000
|
348 |
+
JSON Web Token
|
349 |
+
Jaccard Index
|
350 |
+
Java Virtual Machine
|
351 |
+
JavaScript Object Notation
|
352 |
+
Jena Framework
|
353 |
+
Jerboa
|
354 |
+
Jina
|
355 |
+
JinaChat
|
356 |
+
Joint Application Development
|
357 |
+
Jupyter Notebook
|
358 |
+
Just-In-Time Compilation
|
359 |
+
K-nearest Neighbors
|
360 |
+
Kafka
|
361 |
+
Kaggle
|
362 |
+
Kali Linux
|
363 |
+
Kanban
|
364 |
+
Keras
|
365 |
+
Kernel
|
366 |
+
Key Management
|
367 |
+
Key Performance Indicator
|
368 |
+
Key-Value Store
|
369 |
+
Keystone
|
370 |
+
Kibana
|
371 |
+
Kinesis
|
372 |
+
Kiosk Mode
|
373 |
+
Kotlin
|
374 |
+
Kubernetes
|
375 |
+
Kusto Query Language
|
376 |
+
LangChain-Serve
|
377 |
+
Langchain
|
378 |
+
Large
|
379 |
+
Latest
|
380 |
+
Layer
|
381 |
+
Lead
|
382 |
+
Learn
|
383 |
+
Learning
|
384 |
+
Lease
|
385 |
+
Leather
|
386 |
+
Led
|
387 |
+
Left
|
388 |
+
Legacy
|
389 |
+
Legal
|
390 |
+
Length
|
391 |
+
Level
|
392 |
+
Leverage
|
393 |
+
Library
|
394 |
+
License
|
395 |
+
Life
|
396 |
+
Lift
|
397 |
+
Light
|
398 |
+
Lighting
|
399 |
+
Like
|
400 |
+
Likelihood
|
401 |
+
Limit
|
402 |
+
Line
|
403 |
+
Linear
|
404 |
+
Link
|
405 |
+
List
|
406 |
+
Load
|
407 |
+
Local
|
408 |
+
Location
|
409 |
+
Lock
|
410 |
+
Log
|
411 |
+
Logic
|
412 |
+
Long
|
413 |
+
Look
|
414 |
+
Loop
|
415 |
+
Loss
|
416 |
+
Low
|
417 |
+
Lower
|
418 |
+
Machine
|
419 |
+
Maintain
|
420 |
+
Maintenance
|
421 |
+
Major
|
422 |
+
Make
|
423 |
+
Management
|
424 |
+
Manager
|
425 |
+
Manual
|
426 |
+
Neural Network
|
427 |
+
Neuromorphic Computing
|
428 |
+
Neurosymbolic AI
|
429 |
+
Non-Maximum Suppression
|
430 |
+
Object Detection
|
431 |
+
Object Segmentation
|
432 |
+
Object Tracking
|
433 |
+
Offline Reinforcement Learning
|
434 |
+
Online Learning
|
435 |
+
Ontology Engineering
|
436 |
+
OpenAI Codex
|
437 |
+
OpenPose
|
438 |
+
Optical Character Recognition
|
439 |
+
Optical Flow
|
440 |
+
Optimization Algorithm
|
441 |
+
Oracle Machine Learning
|
442 |
+
Outlier Detection
|
443 |
+
Overfitting Prevention
|
444 |
+
Oversampling Technique
|
445 |
+
Oxford Nanopore Sequencing
|
446 |
+
Parallel Computing
|
447 |
+
Pattern Recognition
|
448 |
+
Perceptual Hashing
|
449 |
+
Persistent Memory
|
450 |
+
Petabyte Scale Storage
|
451 |
+
Phonetic Search
|
452 |
+
Physical Unclonable Function
|
453 |
+
Pixel-wise Segmentation
|
454 |
+
Policy Gradient Methods
|
455 |
+
Pose Estimation
|
456 |
+
Pre-trained Model
|
457 |
+
Predictive Analytics
|
458 |
+
Privacy-Preserving Machine Learning
|
459 |
+
Probabilistic Graphical Models
|
460 |
+
Program Synthesis
|
461 |
+
Projective Geometry
|
462 |
+
PromptPerfect
|
463 |
+
Proximal Policy Optimization
|
464 |
+
Publications
|
465 |
+
Python
|
466 |
+
Q
|
467 |
+
Quality
|
468 |
+
Quality
|
469 |
+
Quality
|
470 |
+
Quality
|
471 |
+
Quality
|
472 |
+
Quality
|
473 |
+
Quality
|
474 |
+
Quality
|
475 |
+
Quality
|
476 |
+
Quality
|
477 |
+
Quality
|
478 |
+
Quality
|
479 |
+
Quality
|
480 |
+
Quality
|
481 |
+
Quality
|
482 |
+
Quality
|
483 |
+
Quality
|
484 |
+
Quality
|
485 |
+
Quality
|
486 |
+
Quality
|
487 |
+
Quality
|
488 |
+
Quality
|
489 |
+
Quality
|
490 |
+
Quality
|
491 |
+
Quality
|
492 |
+
Quality
|
493 |
+
Quality
|
494 |
+
Quality
|
495 |
+
Quality
|
496 |
+
Quality
|
497 |
+
Quality
|
498 |
+
Quality
|
499 |
+
Quality
|
500 |
+
Quality
|
501 |
+
Quality
|
502 |
+
Quality
|
503 |
+
Quality
|
504 |
+
Quality
|
505 |
+
Quality
|
506 |
+
Quality
|
507 |
+
Quality
|
508 |
+
Quality
|
509 |
+
Quality
|
510 |
+
Quality
|
511 |
+
Quality
|
512 |
+
Quality
|
513 |
+
Quality
|
514 |
+
Quality
|
515 |
+
Quantum Machine Learning
|
516 |
+
Query Expansion
|
517 |
+
RAG
|
518 |
+
Random Forests
|
519 |
+
Rapid Reinforcement Learning
|
520 |
+
Rationale
|
521 |
+
Real-time Object Detection
|
522 |
+
Recommender Systems
|
523 |
+
Recurrent Neural Networks
|
524 |
+
Reinforcement Learning
|
525 |
+
Remote Sensing Data
|
526 |
+
Residual Networks
|
527 |
+
Robotic Process Automation
|
528 |
+
Rule-based Systems
|
529 |
+
RunGPT
|
530 |
+
SDK
|
531 |
+
SIGIR
|
532 |
+
SLA
|
533 |
+
SSL
|
534 |
+
Scalability
|
535 |
+
SceneXplain
|
536 |
+
Search
|
537 |
+
Secure
|
538 |
+
Security
|
539 |
+
Semantic
|
540 |
+
Serve
|
541 |
+
Service
|
542 |
+
Session
|
543 |
+
Setup
|
544 |
+
Similarity
|
545 |
+
Simple
|
546 |
+
Simulation
|
547 |
+
Single-Sign-On
|
548 |
+
Site
|
549 |
+
Size
|
550 |
+
Skill
|
551 |
+
Smart
|
552 |
+
Solution
|
553 |
+
Sophisticated
|
554 |
+
Source
|
555 |
+
Space
|
556 |
+
Span
|
557 |
+
Specialization
|
558 |
+
Specific
|
559 |
+
Specs
|
560 |
+
Speed
|
561 |
+
Stack
|
562 |
+
Standard
|
563 |
+
Start
|
564 |
+
State
|
565 |
+
Static
|
566 |
+
Statistical
|
567 |
+
Status
|
568 |
+
Storage
|
569 |
+
Strategy
|
570 |
+
Stream
|
571 |
+
Strength
|
572 |
+
Structure
|
573 |
+
Study
|
574 |
+
Style
|
575 |
+
Subdomain
|
576 |
+
Submission
|
577 |
+
Subscribe
|
578 |
+
Success
|
579 |
+
Support
|
580 |
+
System
|
581 |
+
Systematic
|
582 |
+
Tokenization
|
583 |
+
Top-up
|
584 |
+
Training
|
585 |
+
Trials
|
586 |
+
Unleash
|
587 |
+
VectorDB
|
588 |
+
Virtual
|
589 |
+
Workflow
|
590 |
+
Xplain
|
591 |
+
Your
|
592 |
+
Z
|
593 |
+
Z-score
|
594 |
+
Zebra
|
595 |
+
Zero-shot
|
596 |
+
Zettabyte
|
597 |
+
Zettabyte
|
598 |
+
Zettabyte
|
599 |
+
Zettabyte
|
600 |
+
Zettaflops
|
601 |
+
Zettagram
|
602 |
+
Zettagram
|
603 |
+
Zettagram
|
604 |
+
Zettahertz
|
605 |
+
Zettahertz
|
606 |
+
Zettahertz
|
607 |
+
Zettajoule
|
608 |
+
Zettajoule
|
609 |
+
Zettajoule
|
610 |
+
Zettajoule
|
611 |
+
Zettalitre
|
612 |
+
Zettalitre
|
613 |
+
Zettalitre
|
614 |
+
Zettameter
|
615 |
+
Zettameter
|
616 |
+
Zettameter
|
617 |
+
Zettamole
|
618 |
+
Zettamole
|
619 |
+
Zettamole
|
620 |
+
Zettasecond
|
621 |
+
Zettasecond
|
622 |
+
Zettasecond
|
623 |
+
Zettawatt
|
624 |
+
Zettawatt
|
625 |
+
Zettawatt
|
626 |
+
Zettawatt
|
627 |
+
Zigbee
|
628 |
+
Zonal
|
629 |
+
Zoomable
|