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---
language:
- en
tags:
- observers
- docling
dataset_info:
features:
- name: id
dtype: string
- name: filename
dtype: string
- name: label
dtype: string
- name: text
dtype: string
- name: caption_text
dtype: string
- name: image
dtype: image
- name: width
dtype: int64
- name: height
dtype: int64
- name: dpi
dtype: int64
- name: mimetype
dtype: string
- name: page_no
dtype: int64
- name: mime_type
dtype: string
- name: version
dtype: string
- name: tags
sequence: 'null'
- name: properties
dtype: 'null'
- name: error
dtype: string
- name: raw_response
dtype: string
- name: synced_at
dtype: 'null'
splits:
- name: train
num_bytes: 5266887336.627
num_examples: 100751
download_size: 3924187125
dataset_size: 5266887336.627
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
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- **Curated by:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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### Dataset Sources [optional]
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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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### Out-of-Scope Use
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## Dataset Structure
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## Dataset Creation
### Curation Rationale
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### Source Data
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#### 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?
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### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
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[More Information Needed]
#### Who are the annotators?
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#### 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. -->
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## Bias, Risks, and Limitations
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### Recommendations
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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:**
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**APA:**
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## Dataset Card Contact
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