seed-pretrain-decon / README.md
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---
license: odc-by
dataset_info:
- config_name: gutenberg
features:
- name: added
dtype: string
- name: attributes
struct:
- name: bff_duplicate_paragraph_spans_decontamination
sequence: 'null'
- name: created
dtype: string
- name: id
dtype: string
- name: metadata
struct:
- name: gutenberg_metadata_available
dtype: bool
- name: issued_or_updated_available
dtype: bool
- name: length
dtype: int64
- name: pipeline
dtype: string
- name: provenance
dtype: string
- name: purl.org/dc/terms/issued
dtype: timestamp[s]
- name: purl.org/dc/terms/publisher
dtype: string
- name: purl.org/dc/terms/rights
dtype: string
- name: purl.org/dc/terms/title
dtype: string
- name: rdf_available
dtype: bool
- name: www.gutenberg.org/2009/pgterms/downloads
dtype: int64
- name: purl.org/dc/terms/tableOfContents
dtype: string
- name: purl.org/dc/terms/alternative
dtype: string
- name: purl.org/dc/terms/description
dtype: string
- name: source
dtype: string
- name: text
dtype: string
- name: version
dtype: string
splits:
- name: train
num_bytes: 25032585417
num_examples: 68319
download_size: 15328016129
dataset_size: 25032585417
- config_name: wikipedia
features:
- name: added
dtype: string
- name: attributes
struct:
- name: bff_duplicate_paragraph_spans_decontamination
sequence: 'null'
- name: created
dtype: string
- name: id
dtype: string
- name: metadata
struct:
- name: length
dtype: int64
- name: provenance
dtype: string
- name: revid
dtype: string
- name: url
dtype: string
- name: source
dtype: string
- name: text
dtype: string
- name: version
dtype: string
splits:
- name: train
num_bytes: 16769628203
num_examples: 6543381
download_size: 9557680471
dataset_size: 16769628203
configs:
- config_name: gutenberg
data_files:
- split: train
path: gutenberg/*
- config_name: wikipedia
data_files:
- split: train
path: wikipedia/*
task_categories:
- text-generation
language:
- en
tags:
- wikipedia
- books
- gutenberg
pretty_name: Wikipedia + Gutenberg
size_categories:
- 100K<n<1M
---
# Dataset Card for Dataset Name
Pre-training corpus for seed models in "Scalable Data Ablation Approximations for Language Models through Modular Training and Merging", to be presented at EMNLP 2024.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### 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]
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## Dataset Card Contact
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