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README.md
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---
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language:
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- en
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tags:
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- datasets
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- metadata
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- huggingface
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- training-data
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- model-cards
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pretty_name: HF Datasets Master Index
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size_categories:
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- 10k<n<100k
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---
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# HF Datasets Master Index
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A comprehensive rolled-together dataset of **4,810 unique datasets** found across **227 HuggingFace profiles** (90 people + 137 orgs).
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## What's Inside
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This dataset consolidates all publicly available dataset references from:
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1. **Profile dataset pages** - datasets published by each profile
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2. **Profile collections** - datasets bookmarked in collections
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3. **Model cards** - datasets referenced in model training descriptions
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4. **Model tree traversal** - datasets inherited from base models through finetunes/merges/quants
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5. **Your personal collections** - mc7ever's 52 HF collections
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## Columns
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| Column | Description |
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|--------|-------------|
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| `dataset` | HuggingFace dataset ID (org/name) |
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| `profiles_using_it` | Pipe-delimited list of profiles that use/reference this dataset |
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| `num_profiles` | Number of profiles using it |
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| `collections_it_appears_in` | Collections where this dataset appears |
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| `your_collection` | Your personal collection name (if applicable) |
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| `direct_model_references` | Number of models directly trained on this dataset |
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| `ancestral_model_references` | Number of models that inherit this dataset through base model tree |
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| `total_model_tree_refs` | Total model references (direct + ancestral) |
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| `direct_model_ids` | Model IDs directly trained on this dataset |
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| `ancestral_model_ids` | Model IDs that inherit this dataset |
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| `model_pipeline_types` | Pipeline types of models using this dataset |
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| `total_downloads` | Total downloads across all profiles |
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| `total_likes` | Total likes across all profiles |
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| `found_via` | How this dataset was discovered (profile_page, model_card, your_collection) |
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## Stats
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- **4,810** unique datasets
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- **227** profiles scraped (90 people + 137 orgs)
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- **5,041** models indexed (text + multimodal with text)
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- **403** datasets appear in 2+ profiles
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- **190** datasets in your personal collections
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## Usage
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```python
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import pandas as pd
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df = pd.read_parquet("hf_datasets_master.parquet")
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# Most-used datasets
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df.nlargest(10, 'num_profiles')[['dataset', 'num_profiles', 'total_model_tree_refs']]
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# Datasets in your collections
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df[df['your_collection'] != '']
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# Datasets with most model references
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df.nlargest(10, 'total_model_tree_refs')[['dataset', 'total_model_tree_refs']]
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```
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