Super-squash branch 'main' using huggingface_hub

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README.md

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+---
+language:
+- en
+- pt
+- de
+- fr
+- es
+license: odc-by
+size_categories:
+- 10M<n<100M
+source_datasets: OpenCo7/UpVoteWeb
+task_categories:
+- text-generation
+- feature-extraction
+- image-to-text
+- text-to-image
+- fill-mask
+dataset_info:
+- config_name: default
+  features:
+  - name: post_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: url
+    dtype: string
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: subreddit
+    dtype: string
+  - name: score
+    dtype: int64
+  - name: token_count
+    dtype: int64
+  - name: language
+    dtype: string
+  - name: language_score
+    dtype: float64
+  - name: media_urls
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 9259550876
+    num_examples: 16056485
+  download_size: 5885641617
+  dataset_size: 9259550876
+- config_name: eduscore-1
+  features:
+  - name: post_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: url
+    dtype: string
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: subreddit
+    dtype: string
+  - name: eduscore
+    dtype: float64
+  - name: token_count
+    dtype: int64
+  - name: language
+    dtype: string
+  - name: language_score
+    dtype: float64
+  - name: media_urls
+    dtype: string
+  - name: eduscore_int
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 1106382730.0
+    num_examples: 661861
+  download_size: 702006131
+  dataset_size: 1106382730.0
+- config_name: eduscore-2
+  features:
+  - name: post_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: url
+    dtype: string
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: subreddit
+    dtype: string
+  - name: eduscore
+    dtype: float64
+  - name: token_count
+    dtype: int64
+  - name: language
+    dtype: string
+  - name: language_score
+    dtype: float64
+  - name: media_urls
+    dtype: string
+  - name: eduscore_int
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 33822539.0
+    num_examples: 17332
+  download_size: 20729551
+  dataset_size: 33822539.0
+- config_name: eduscored
+  features:
+  - name: post_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: url
+    dtype: string
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: subreddit
+    dtype: string
+  - name: eduscore
+    dtype: float64
+  - name: token_count
+    dtype: int64
+  - name: language
+    dtype: string
+  - name: language_score
+    dtype: float64
+  - name: media_urls
+    dtype: string
+  - name: eduscore_int
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 9388002756
+    num_examples: 16056485
+  download_size: 5937232561
+  dataset_size: 9388002756
+- config_name: en-clean
+  features:
+  - name: post_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: url
+    dtype: string
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: subreddit
+    dtype: string
+  - name: score
+    dtype: int64
+  - name: token_count
+    dtype: int64
+  - name: language
+    dtype: string
+  - name: language_score
+    dtype: float64
+  - name: media_urls
+    dtype: string
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+  - name: train
+    num_bytes: 7830835057
+    num_examples: 13019754
+  download_size: 4956674820
+  dataset_size: 7830835057
+- config_name: image-dataset-sample
+  features:
+  - name: post_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: subreddit
+    dtype: string
+  - name: score
+    dtype: int64
+  - name: token_count
+    dtype: int64
+  - name: language
+    dtype: string
+  - name: language_score
+    dtype: float64
+  - name: image
+    dtype: image
+  splits:
+  - name: train
+    num_bytes: 97242067379.125
+    num_examples: 122087
+  download_size: 96955619502
+  dataset_size: 97242067379.125
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+- config_name: eduscore-1
+  data_files:
+  - split: train
+    path: eduscore-1/train-*
+- config_name: eduscore-2
+  data_files:
+  - split: train
+    path: eduscore-2/train-*
+- config_name: eduscored
+  data_files:
+  - split: train
+    path: eduscored/train-*
+- config_name: en-clean
+  data_files:
+  - split: train
+    path: en-clean/train-*
+- config_name: image-dataset-sample
+  data_files:
+  - split: train
+    path: image-dataset-sample/train-*
+tags:
+- reddit
+- upvoteweb
+---
+
+
+# upvoteweb: posts
+
+
+Posts in [upvoteweb](https://huggingface.co/datasets/OpenCo7/UpVoteWeb).
+
+## configs
+
+> [!IMPORTANT]  
+> There are several configs representing different permutations of this dataset. Load the relevant config for the task you are interested in.
+
+Overview of configs:
+
+- `default`: largely unfiltered/unprocessed original data
+- `eduscored`: the "eduscore" predicted on the `text` column with [huggingface's trained classifier](https://hf.co/HuggingFaceFW/fineweb-edu-classifier)
+- `en-clean`: filter `language` for `en` and `language_score` for > `0.6`. Run [clean-text](https://pypi.org/project/clean-text/) on the `text` col, preserving casing
+- `image-dataset-sample`: filter for posts with `score` > 2000, at least one URL that points to an image. Load the first image URL into a new `image` col, and resize it to have a max dim of 2048
+
+Pass the config name as a second fn arg when loading the dataset to load that config. For example, to load `eduscored`:
+
+```py
+from datasets import load_dataset
+
+ds = load_dataset("BEE-spoke-data/upvoteweb-posts", "eduscored")
+ds
+```
+
+## lang details
+
+Some simple counts in `default`:
+
+```
+language
+en     14745361
+de       271905
+es       176108
+pt       138175
+fr       126898
+         ...   
+kv            2
+tyv           1
+myv           1
+hif           1
+lez           1
+Name: count, Length: 171, dtype: int64
+```

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