Update_5-8_Readme.md

~~~
license: mit
task_categories:
- text-to-image
- unconditional-image-generation
language:
- en
- es
tags:
- finance
- biology
- chemistry
- code
- art
- synthetic
pretty_name: My Auto-Tune Dataset 🖼️🎨
size_categories:
- n>1T
---
~~~

---
## This update adds more languages and datasets.

~~~
README.md,
---
test.csv, train.csv,
holdout.csv,
abc.csv,
def.csv,
ghi.csv,
---
main_data.csv,
---
additional_data.csv,
bees.csv,
more_bees.csv,
even_more_bees.csv,
test-file.csv,
train1.csv,
validation1.csv,
test1.csv,
validation.csv,
---
train-00000-of-00003.csv,
train-00001-of-00003.csv,
train-00002-of-00003.csv,
test-00000-of-00001.csv,
random-00000-of-00003.csv,
random-00001-of-00003.csv,
random-00002-of-00003.csv,
training.csv,
eval.csv,
valid.csv,
train_0.csv,
train_1.csv,
train_2.csv,
train_3.csv,
test_0.csv,
test_1.csv,
my_train_file_00001.csv,
shard_0.csvs,
hard_1.csv,
shard_2.csv,
shard_3.csv

---
~~~
---
# And Added images:
---
~~~

---
---

---

~~~
---

README.md

@@ -1,3 +1,254 @@
 ---
 license: mit
+task_categories:
+- text-classification
+- token-classification
+- table-question-answering
+- question-answering
+- zero-shot-classification
+- translation
+- summarization
+- feature-extraction
+- text-generation
+- text2text-generation
+- sentence-similarity
+- fill-mask
+- text-to-speech
+- text-to-audio
+- automatic-speech-recognition
+- audio-to-audio
+- audio-classification
+- voice-activity-detection
+- depth-estimation
+- image-classification
+- object-detection
+- image-segmentation
+- text-to-image
+- image-to-text
+- image-to-image
+- image-to-video
+- unconditional-image-generation
+- video-classification
+- reinforcement-learning
+- tabular-classification
+- robotics
+- tabular-regression
+- tabular-to-text
+- table-to-text
+- multiple-choice
+- text-retrieval
+- time-series-forecasting
+- text-to-video
+- visual-question-answering
+- zero-shot-image-classification
+- graph-ml
+- mask-generation
+- zero-shot-object-detection
+- image-to-3d
+- text-to-3d
+- image-feature-extraction
+- video-text-to-text
+language:
+- en
+- es
+- af
+tags:
+- chemistry
+- biology
+- finance
+- legal
+- music
+- art
+- code
+- synthetic
+- climate
+size_categories:
+- n>1T
+pretty_name: update_8
 ---
+
+
+## Rich & engaging dataset card: 
+
+#### Uses:
+- 🗨️text-to-image🧏‍♂️
+- 🚗auto-tuning dataset📈
+- 🏘️hosted on Hugging Face🤗 
+
+This is a comprehensive and detailed 
+version that covers all the necessary 
+fields.
+
+###### This version🆚 also includes lots of emojis 
+Emojis are designed enhance readability and
+engagement! 
+
+- #### 📚💍🙏🆘💁‍♀️💡🔦🩵🚦〽️🏋️‍♀️🔥
+- #### 🛟👄🎧🦁👅♌👂⚖️🪪🫠😋🛋️
+- #### 🧧🍋🦵🐸🦎
+
+
+---
+~
+---
+
+~~~
+license: mit
+task_categories:
+- text-to-image
+- unconditional-image-generation
+language:
+- en
+- es
+tags:
+- finance
+- biology
+- chemistry
+- code
+- art
+- synthetic
+pretty_name: My Auto-Tune Dataset 🖼️🎨
+size_categories:
+- n>1T
+---
+~~~
+# 📄 Dataset Card for **My Auto-Tune Dataset**
+
+---
+
+### 📚 **Dataset Summary**
+🚀 This dataset is designed to fine-tune models for generating high-quality images from text prompts. Whether you're into **art**, **synthetic data**, or **creative AI**, this dataset is your go-to source for automatic image generation! 🌐🖌️
+
+---
+
+## 🧩 **Dataset Details**
+
+### 🔍 **Description**
+🔧 This dataset includes a massive collection of text-image pairs to train and fine-tune text-to-image models. With **multi-lingual support** (English & Spanish) 🌍, it's perfect for applications in fields such as **finance**, **biology**, **chemistry**, and even **code-based art generation**! 💸🧬⚛️👾
+
+---
+
+### 🔄 **Dataset Sources**
+- **Repository**: [nivin-ai/faq_embeddings](https://huggingface.co/nivin-ai/faq_embeddings)
+- **Paper [optional]**: Currently, there is no associated paper 📄.
+- **Demo [optional]**: Coming soon! 🚧
+
+---
+
+## 💡 **Intended Uses**
+
+### ✅ **Direct Use**
+- Fine-tuning models for **text-to-image** generation 🎨.
+- Building **creative AI systems** for generating unique visuals 🖼️.
+- Developing models in **art, synthetic data**, and **finance** contexts 💰.
+
+### 🚫 **Out-of-Scope Use**
+- ⚠️ **Do not use** this dataset for generating harmful, explicit, or misleading content.
+- Avoid applications in **real-time decision-making systems** where accuracy is critical 🛑.
+
+---
+
+## 🏗️ **Dataset Structure**
+
+- **File Types**: `.jsonl` for text-image pairs 🗂️.
+- **Splits**: Train and validation splits are defined as follows:
+  - `train/`: 80% of the data 🏋️‍♂️
+  - `validation/`: 20% for model evaluation 🧪
+  - `train/`: 20% of the data 🏋️‍♂️
+  - `validation/`: 5% for model evaluation 🧪
+  - `train/`: 100% of the data 🏋️‍♂️
+  - `validation/`: 25% for model evaluation 🧪
+    
+
+---
+
+## ⚙️ **Dataset Creation Process**
+
+### 🎯 **Curation Rationale**
+The dataset was developed to empower **researchers and developers** to create state-of-the-art **text-to-image generation models**. It's optimized for **large-scale projects** requiring high-quality visual outputs 🚀.
+
+### 🏗️ **Source Data**
+- **Collection Process**: Scraped from **open-source** text and image databases 📂.
+- **Processing**: All text entries were normalized, and images were resized for consistent input dimensions 🖼️.
+
+---
+
+### ✏️ **Annotations**
+- **Annotation Process**: Annotations include descriptions and metadata for images 🌟.
+- **Annotators**: Curated by experts in **AI, finance, and art** domains 🎓.
+- **Tools Used**: Hugging Face’s `datasets` library and custom Python scripts 🐍.
+
+---
+
+## 🔍 **Bias, Risks, and Limitations**
+While this dataset aims to provide **neutral and creative** content, users should be aware that:
+- It may contain **biases inherent** in its source data 🧐.
+- The dataset should not be used for generating **inappropriate or offensive** content 🚫.
+- May not be suitable for **mission-critical applications** (e.g., medical, legal, or financial advice) ⚠️.
+
+---
+
+### 🌟 **Recommendations**
+- Always evaluate model outputs for **biases** and **inaccuracies** before deployment.
+- Use responsibly, especially if integrating with sensitive applications 💼.
+
+---
+
+## 🔗 **Citations**
+
+If you use this dataset, please cite:
+
+```bibtex
+@misc{my_auto_tune_dataset_2024,
+  title={My Auto-Tune Dataset},
+  author={Derrick Adkison, Kumplex Media Holdings Group LLC},
+  year={2024},
+  url={https://huggingface.co/nivin-ai/faq_embeddings},
+  license={MIT}
+}
+
+
+---
+
+📞 Contact Information
+
+Author: Derrick Adkison
+
+Organization: Kumplex Media Holdings Group LLC
+
+Email: derricka59@aol.com
+
+Alternate Email: derrick@a20.5cloudhost.com
+
+Phone: +1 253-293-2802 ☎️
+
+
+
+---
+
+📖 Glossary
+
+
+---
+
+🔍 More Information
+
+For any questions, open an issue on the GitHub repository or contact us directly 📧.
+
+
+---
+
+🤖 Dataset Card Authors
+
+Derrick Adkison
+
+Contributors: Hugging Face Community 🧑‍🤝‍🧑
+
+
+
+---
+
+This dataset card covers all essential fields and includes fun, emoji-filled explanations to make it engaging for users. Let me know if you need more tweaks or additional fields!
+
+
+~~~