Update README.md

README.md

@@ -7,19 +7,182 @@ language:
 pretty_name: Zyda
 size_categories:
 - n>1T
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/*
+  - config_name: zyda_no_starcoder
+    data_files:
+      - split: train
+        path: data/no_starcoder/*
+  - config_name: zyda_arxiv
+    data_files:
+      - split: train
+        path: data/no_starcoder/zyda_arxiv/*
+  - config_name: zyda_c4-en
+    data_files:
+      - split: train
+        path: data/no_starcoder/zyda_c4-en/*
+  - config_name: zyda_peS2o
+    data_files:
+      - split: train
+        path: data/no_starcoder/zyda_peS2o/*
+  - config_name: zyda_pile-uncopyrighted
+    data_files:
+      - split: train
+        path: data/no_starcoder/zyda_pile-uncopyrighted/*
+  - config_name: zyda_refinedweb
+    data_files:
+      - split: train
+        path: data/no_starcoder/zyda_refinedweb/*
+  - config_name: zyda_slimpajama
+    data_files:
+      - split: train
+        path: data/no_starcoder/zyda_slimpajama/*
+  - config_name: zyda_starcoder
+    data_files:
+      - split: train
+        path: data/zyda_starcoder/*
+
+
 ---
+# Dataset Card for Zyda
+
+<!-- Provide a quick summary of the dataset. -->
+
+This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+
+## Dataset Details
+
+
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+
+
+- **Curated by:** Zyphra
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Language(s) (NLP):** English
+- **License:** Open Data Commons License
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+
+[More Information Needed]
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+<!-- Motivation for the creation of this dataset. -->
+
+[More Information Needed]
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+
+#### Data Collection and Processing
+
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+
+[More Information Needed]
+
+#### Who are the source data producers?
+
+<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+
+[More Information Needed]
+
+### Annotations [optional]
+
+<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+
+#### Annotation process
+
+<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+<!-- This section describes the people or systems who created the annotations. -->
+
+[More Information Needed]
+
+#### Personal and Sensitive Information
+
+<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Dataset Card Authors [optional]
 
-Zyda is a unified dataset, released under a permissive license, comprising most of the largest and highest quality existing open-source datasets available. 
-Upon these, we have performed extensive additional filtering, beyond what was originally applied, and thorough intra- and inter-dataset deduplication. 
-Our aim with this work is to create a growing and extendable meta-dataset which can be easily used by practitioners to train trillion-token scale language models
-while also consolidating and unifying the efforts made by disparate open-source groups who have released their datasets. Ultimately, we hope that our work can 
-provide an 'off-the-shelf' accessible trillion-scale high quality pretraining dataset which can be used by groups interested in pretraining their own LLM models.
+[More Information Needed]
 
-While not performing new filtering from common-crawl, we believe that our work is an important and valuable step towards the creation of large scale 
-high quality open datasets given that there exist a number of high quality existing datasets but few to none of them individually reach the scale 
-necessary for training frontier models. Collating, filtering, and deduplicating the existing datasets needed to create a trillion token dataset is 
-nontrivial work and extremely important to raise the quality of the dataset and prevent significant amounts of inter-dataset duplicates. 
-This latter operation of deduplication between datasets is extremely important given the degree of duplicated documents we discovered in 
-the datasets that we collected in this work. 
+## Dataset Card Contact
 
-Here we are releasing a version of the dataset that was deduplicated using LSH minhash technique with 40% Jaccard similarity threshold.
+[More Information Needed]