Super-squash branch 'main' using huggingface_hub

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.onnx filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+# Jsonl
+*.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+size_categories:
+- 100M<n<1B
+
+configs:
+- config_name: default
+  data_files:
+  - split: text-focus
+    path: "data/chunk_*/*.jsonl"
+---
+
+# OKReddit
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/iIT11kzCFgbKSc0E-p5S4.png)
+
+# Dataset Summary
+
+OKReddit is a filtered collection of **5TiB** of reddit submissions and comments from 2005 to 2023. This dataset has been prepared for research or archival purposes.
+
+This dataset includes (obviously) a filtered list of subreddits.
+
+- **Curated by:** KaraKaraWitch
+- **Funded by:** Recursal.ai
+- **Shared by:** KaraKaraWitch
+- **Language(s) (NLP):** Mainly English. Other languages are available at smaller sizes.
+- **License:** `Scripts` folder are Apache 2.0. Refer to [Licensing Information](#licensing-information) for data license.
+
+### Dataset Sources
+
+- **Source Data:** [Academic Torrents](https://academictorrents.com/details/9c263fc85366c1ef8f5bb9da0203f4c8c8db75f4) by (stuck_in_the_matrix, Watchful1, RaiderBDev & pushshift folks.)
+
+## Supported Tasks and Leaderboards
+
+The dataset may be used for a variety of natural language processing (NLP) tasks including:
+
+- Text Classification: Classifying comments and posts into categories based on sentiment, topic, or subreddit.
+
+- Language Modeling: Training language models to understand and generate conversational text.
+
+- Sentiment Analysis: Analyzing the sentiment of comments and posts across different subreddits and topics.
+
+- Topic Modeling: Identifying and modeling topics discussed in the posts and comments.
+
+## Languages
+
+The primary language of the dataset is English, as the majority of redditors are English educated. However, posts in other languages may also be present in smaller quanitites.
+
+## Dataset Structure
+
+### Data Instances
+
+Each data instance repreasents a submission thread within a subreddit.
+
+- `thread_id`: The submission thread ID. Inclusive of the `t3_` that reddit uses to mark an id as a thread. `https://reddit.com/r/<SUBREDDIT>/comments/<THREAD_ID>/`
+- `subreddit`: The name of the subreddit. Case-insensitive. Reddit just redirects you to the correct-cased subreddit.
+- `namedconversation`: A OpenAI "compatible" conversation:
+  - `from`: The author username that posted the content. **It is not `user`, `system`,`model`!**
+  - `content`: The reddit markdown posted.
+- The first value of `namedconversation` is the submission. The rest are replies.
+- If a submission is marked as NSFW / Mature, a `[R-18]` is appended to the front of the title.
+- `submission` / `comments`: The raw submission and comments respectively.
+
+Unsure or Confused? We have provided a real sample below.
+
+### Data Sample
+
+<details>
+  <summary>Sample Thread</summary>
+  <pre>
+    <code class="language-json">
+{
+    "thread_id": "t3_of7h2",
+    "subreddit": "Gaben",
+    "namedconversation": [
+        {
+            "from": "[deleted]",
+            "content": "[13 Jan 2012, 07:01:07] TIL Half-Life 2's source code was hacked because the hacker guessed Gabe's password, which was \"gaben\"\n\nLink: half-life.wikia.com"
+        },
+        {
+            "from": "clydethefrog",
+            "content": "[15 Jan 2012, 18:01:06] That's my password too"
+        },
+        {
+            "from": "Dunge",
+            "content": "[29 Feb 2012, 02:02:34] \"Gembe was led into believing that Valve wanted to employ him as an in-house security auditor. He was to be offered a flight to the USA and was to be arrested on arrival by the FBI.\"\n\nWow that's sad"
+        },
+        {
+            "from": "captainregularr",
+            "content": "[13 Jan 2012, 14:01:14] Did you know gaben makes me gaben my gaben?"
+        },
+        {
+            "from": "Turellio",
+            "content": "[13 Jan 2012, 17:01:53] that's what gaben gaben"
+        },
+        {
+            "from": "captainregularr",
+            "content": "[13 Jan 2012, 17:01:05] I gaben to gaben's demands."
+        },
+        {
+            "from": "RagingRetard",
+            "content": "[13 Jan 2012, 17:01:49] Oh, quit your incessant gaben."
+        }
+    ],
+    "submission": {
+        "sub": {
+            "name": "Gaben",
+            "id": "2scx1",
+            "subs": null,
+            "type": null
+        },
+        "author": null,
+        "title": "TIL Half-Life 2's source code was hacked because the hacker guessed Gabe's password, which was \"gaben\"",
+        "score": 23,
+        "created": 1326440407.0,
+        "id": "of7h2",
+        "flags": "",
+        "link_flair": null,
+        "url": "http://half-life.wikia.com/wiki/Half-Life_2_Beta#Source_code_leak",
+        "text": "",
+        "removed": [],
+        "cross": []
+    },
+    "comments": [
+        {
+            "sub": {
+                "name": "Gaben",
+                "id": "2scx1",
+                "subs": -1,
+                "type": ""
+            },
+            "author": {
+                "name": "clydethefrog",
+                "uid": "",
+                "create": -1,
+                "flair": null,
+                "patreon": false,
+                "premium": false
+            },
+            "text": "That's my password too",
+            "score": 1,
+            "created": "1326652326",
+            "id": "c3hge04",
+            "parent_id": "t3_of7h2",
+            "thread_id": "t3_of7h2",
+            "flags": "A",
+            "children": []
+        },
+        {
+            "sub": {
+                "name": "Gaben",
+                "id": "2scx1",
+                "subs": -1,
+                "type": ""
+            },
+            "author": {
+                "name": "Dunge",
+                "uid": "",
+                "create": -1,
+                "flair": null,
+                "patreon": false,
+                "premium": false
+            },
+            "text": "\"Gembe was led into believing that Valve wanted to employ him as an in-house security auditor. He was to be offered a flight to the USA and was to be arrested on arrival by the FBI.\"\n\nWow that's sad",
+            "score": 3,
+            "created": "1330483894",
+            "id": "c3w2ulz",
+            "parent_id": "t3_of7h2",
+            "thread_id": "t3_of7h2",
+            "flags": "A",
+            "children": []
+        },
+        {
+            "sub": {
+                "name": "Gaben",
+                "id": "2scx1",
+                "subs": -1,
+                "type": ""
+            },
+            "author": {
+                "name": "captainregularr",
+                "uid": "",
+                "create": -1,
+                "flair": null,
+                "patreon": false,
+                "premium": false
+            },
+            "text": "Did you know gaben makes me gaben my gaben?",
+            "score": 5,
+            "created": "1326463514",
+            "id": "c3gsfkx",
+            "parent_id": "t3_of7h2",
+            "thread_id": "t3_of7h2",
+            "flags": "A",
+            "children": [
+                {
+                    "sub": {
+                        "name": "Gaben",
+                        "id": "2scx1",
+                        "subs": -1,
+                        "type": ""
+                    },
+                    "author": {
+                        "name": "Turellio",
+                        "uid": "",
+                        "create": -1,
+                        "flair": null,
+                        "patreon": false,
+                        "premium": false
+                    },
+                    "text": "that's what gaben gaben",
+                    "score": 3,
+                    "created": "1326476873",
+                    "id": "c3guihp",
+                    "parent_id": "t1_c3gsfkx",
+                    "thread_id": "t3_of7h2",
+                    "flags": "A",
+                    "children": [
+                        {
+                            "sub": {
+                                "name": "Gaben",
+                                "id": "2scx1",
+                                "subs": -1,
+                                "type": ""
+                            },
+                            "author": {
+                                "name": "captainregularr",
+                                "uid": "",
+                                "create": -1,
+                                "flair": null,
+                                "patreon": false,
+                                "premium": false
+                            },
+                            "text": "I gaben to gaben's demands.",
+                            "score": 5,
+                            "created": "1326477005",
+                            "id": "c3guje0",
+                            "parent_id": "t1_c3guihp",
+                            "thread_id": "t3_of7h2",
+                            "flags": "AE",
+                            "children": [
+                                {
+                                    "sub": {
+                                        "name": "Gaben",
+                                        "id": "2scx1",
+                                        "subs": -1,
+                                        "type": ""
+                                    },
+                                    "author": {
+                                        "name": "RagingRetard",
+                                        "uid": "",
+                                        "create": -1,
+                                        "flair": null,
+                                        "patreon": false,
+                                        "premium": false
+                                    },
+                                    "text": "Oh, quit your incessant gaben.",
+                                    "score": 2,
+                                    "created": "1326477409",
+                                    "id": "c3gulzh",
+                                    "parent_id": "t1_c3guje0",
+                                    "thread_id": "t3_of7h2",
+                                    "flags": "A",
+                                    "children": []
+                                }
+                            ]
+                        }
+                    ]
+                }
+            ]
+        }
+    ]
+}
+    </code>
+  </pre>
+</details>
+
+# Dataset Creation
+
+### Curation Rationale
+
+Reddit has graced the world with it's unique design and way of comments (Extremely nested comment chains).  
+However, we have noted that it's possible to flatten comment chains into 1 long conversation without the comversation looking too strange or out of place.
+
+Additionally since Reddit goes back to 2005, it has a lot of data that is waiting to be explored and used.  
+(Plus, recent Large Language Models have been using reddit for quite some time!)
+
+After reviewing UpVoteWeb's curation practices, we have taken upon ourselves to develop a more open dataset.  
+Recognising variety is the spice of life, we only pruned subreddits that do not contain useful data based on 3 metrics:
+
+1. Engagement (How active a submission is to the amount of comments recieved. Total Comments / Total submissions)
+2. Richness (The amount of media submissions to all the submissions squared)
+3. Diversity (The sum of unique authors from comments and submissions over the number of unique authors from submissions)
+
+In practice, it looks something like this:
+
+```py
+# ...
+
+engagement = comment_data["comments"] / submission_data["submissions"]
+richness = (submission_data["media"] / submission_data["submissions"]) ** 2
+diversity = (
+    comment_data["authors"] + submission_data["authors"]
+) / submission_data["submissions"]
+```
+
+We additionally employ some baseline metrics such as minimum submission, submission authors, comment and comment authors.
+
+In practice:
+
+```py
+if (
+    stats_data["submission"]["authors"] < 70 #  Total unique authors
+    or stats_data["comment"]["authors"] < 20 #  Total unique commentors
+    or stats_data["submission"]["submissions"] < 450 #  Total submissions count
+    or stats_data["comment"]["comments"] < 585 #  Total comments count
+):
+  # Skip the subreddit
+```
+
+With the baseline and these 3 metrics, we filter out a host of low quality subreddits. By this stage, we have successfully selected ~62K subreddits that are of good to high quality.
+
+After filtering subreddits, we then filter submissions and comments by the following:
+
+1. We skip submission threads with less than 5 comments
+2. We prune comments that have less than -4 score. (Score from reddit defaults.)
+3. For submissions with more than 50 comments, we drop all comments that have a nested depth of 6. (Inspired from a RES filter)
+4. If a comment chain drops below 0, we prune the rest of the content.
+5. For child comments that have a parent from (2,3,4), they are additionally pruned.
+
+For more infomation, refer to the scripts provided alongside this repo. Specifically `RedditScoring.py` for subreddit filtering and `RedditThreader.py` for per thread filtering.
+
+### Source Data
+
+This dataset is a filtered collection of posts and comments from the beginning of reddit to up to end of 2023.
+
+# Considerations for Using the Data
+
+### Social Impact of Dataset
+
+With the release of this dataset, we aim to make this development resource available to the community at large. 
+
+### Discussion of Biases
+
+We've decided **not to censor out NSFW or toxic content.** This allows for better toxic analysis and a varied dataset.
+
+# Additional Information
+
+## Recursal's Vision
+
+> To make AI accessible to everyone, regardless of language, or economical status
+
+This is the collective goal of the `RWKV Open Source foundation` and `Recursal AI`, the commercial entity who backs it.
+
+We believe that AI should not be controlled by a select few individual organization. And that it should be made accessible regardless if you are rich or poor, or a native speaker of english.
+
+### About RWKV
+
+RWKV is an Open Source, non profit group, under the linux foundation. Focused on developing the RWKV AI architecture, in accordence to our vision.
+
+The RWKV architecture scales efficiently and economically. As an RNN & Transformer hybrid, it is able to provide the performance similar to leading transformer models, while having the compute and energy efficiency of an RNN based architecture.
+
+You can find out more about the project, and latest models, at the following
+
+- [https://blog.rwkv.com](https://blog.rwkv.com)
+- [https://wiki.rwkv.com](https://wiki.rwkv.com)
+
+
+### About Recursal AI
+
+Recursal AI, is the commercial entity built to provide support for RWKV model development and users, while providing commercial services via its public cloud, or private-cloud / on-premise offerings.
+
+As part of our vision. Our commitment, is to ensure open source development and access to the best foundational AI models and datasets. 
+
+The following dataset/models provided here, is part of that commitment.
+
+You can find out more about recursal AI here
+
+- [https://recursal.ai](https://recursal.ai)
+- [https://blog.recursal.ai](https://blog.recursal.ai)
+
+### Licensing Information
+
+Since this dataset is derived from a public crawl of reddit, the original content may be subject to copyright and other licensing terms set by the original site owner and/or the content creators.  
+Additionally, this dataset is for research and archival purposes only.
+
+### Citation Information
+
+If you use this dataset in your research or project, please cite it as follows:
+```TeX
+@dataset{OKReddit,
+  title = {OKReddit},
+  year = {2024},
+  publisher = {KaraKaraWitch},
+  url = {<https://huggingface.co/datasets/KaraKaraWitch/OKReddit>}
+}
+```
+
+Additionally, pleace cite the following source bibtex as well.
+```TeX
+@article{,
+title= {Reddit comments/submissions 2005-06 to 2023-12},
+journal= {},
+author= {stuck_in_the_matrix, Watchful1, RaiderBDev},
+year= {},
+url= {},
+abstract= {Reddit comments and submissions from 2005-06 to 2023-09 collected by pushshift and u/RaiderBDev.
+
+These are zstandard compressed ndjson files. Example python scripts for parsing the data can be found here https://github.com/Watchful1/PushshiftDumps
+
+The more recent dumps are collected by u/RaiderBDev and questions can be submitted here https://github.com/ArthurHeitmann/arctic_shift},
+keywords= {reddit},
+terms= {},
+license= {},
+superseded= {}
+}
+```
+
+## ...
+
+```
+Qngnfrg Mra
+- XnenXnenJvgpu @ erphefny.nv FRCG 24
+
+- Nalguvat, naq rirelguvat pna or pbyyngrq vagb qngnfrg.
+- Gb orpbzr bar jvgu gur qngn, bar zhfg or jvyyvat gb bcra gurve zvaqf.
+- Ab znggre ubj phefrq vg znl frra, gurer'f nyjnlf zber jbefr guvatf bhg gurer.
+- NCV Yvzvgf, Cnljnyyf, Fhofpevcgvbaf naq bgure yvzvgngvbaf ner n "fhttrfgvba".
+- Vs nyy ryfr snvyf, cebkvrf naq nppbhagf.
+- Bar funyy arire cehar pbagrag jvgubhg eulzr be ernfba.
+- Hayrff vg'f pyrneyl NV-Fybc. Lbh'er serr gb tb unz.
+- Qngnfrgf ner Rireterra, arire qrpvqhbhf.
+- Ohvyq gb fpnyr, arire fvatyr-guernqrq.
+```

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