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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type struct<MISSING_COMMENT_MESSAGE: string, STR_FIELD: string, all_awardings: list<item: null>, approved_at_utc: null, approved_by: null, archived: bool, associated_award: null, author: string, author_flair_background_color: string, author_flair_css_class: null, author_flair_richtext: list<item: null>, author_flair_template_id: null, author_flair_text: null, author_flair_text_color: string, author_flair_type: string, author_fullname: string, author_is_blocked: bool, author_patreon_flair: bool, author_premium: bool, award: string, awarders: list<item: null>, banned_at_utc: null, banned_by: null, block: string, body: string, body_html: string, can_gild: bool, can_mod_post: bool, clear_vote: string, collapse: string, collapsed: bool, collapsed_because_crowd_control: null, collapsed_reason: null, collapsed_reason_code: string, comment_type: null, controversiality: int64, created: double, created_utc: double, delete: string, depth: int64, disable_inbox_replies: string, distinguished: null, downs: int64, downvote: string, edit: string, edited: double, enable_inbox_replies: string, fullname: string, gild: string, gilded: int64, gildings: struct<>, id: string, id_from_url: string, is_root: bool, is_submitter: bool, likes: null, link_id: string, locked: bool, mark_read: string, mark_unread: string, mod: string, mod_note: null, mod_reason_by: null, mod_reason_title: null, mod_reports: list<item: null>, name: string, no_follow: bool, num_reports: null, parent: string, parent_id: string, parse: string, permalink: string, refresh: string, removal_reason: null, replies: string, reply: string, report: string, report_reasons: null, save: string, saved: bool, score: int64, score_hidden: bool, send_replies: bool, stickied: bool, submission: string, subreddit: string, subreddit_id: string, subreddit_name_prefixed: string, subreddit_type: string, top_awarded_type: null, total_awards_received: int64, treatment_tags: list<item: null>, unblock_subreddit: string, uncollapse: string, unrepliable_reason: null, unsave: string, ups: int64, upvote: string, user_reports: list<item: null>> to null
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1625, in _prepare_split_single
writer.write(example, key)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 537, in write
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
arrays.append(pa.array(typed_sequence))
File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
out = cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1950, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type struct<MISSING_COMMENT_MESSAGE: string, STR_FIELD: string, all_awardings: list<item: null>, approved_at_utc: null, approved_by: null, archived: bool, associated_award: null, author: string, author_flair_background_color: string, author_flair_css_class: null, author_flair_richtext: list<item: null>, author_flair_template_id: null, author_flair_text: null, author_flair_text_color: string, author_flair_type: string, author_fullname: string, author_is_blocked: bool, author_patreon_flair: bool, author_premium: bool, award: string, awarders: list<item: null>, banned_at_utc: null, banned_by: null, block: string, body: string, body_html: string, can_gild: bool, can_mod_post: bool, clear_vote: string, collapse: string, collapsed: bool, collapsed_because_crowd_control: null, collapsed_reason: null, collapsed_reason_code: string, comment_type: null, controversiality: int64, created: double, created_utc: double, delete: string, depth: int64, disable_inbox_replies: string, distinguished: null, downs: int64, downvote: string, edit: string, edited: double, enable_inbox_replies: string, fullname: string, gild: string, gilded: int64, gildings: struct<>, id: string, id_from_url: string, is_root: bool, is_submitter: bool, likes: null, link_id: string, locked: bool, mark_read: string, mark_unread: string, mod: string, mod_note: null, mod_reason_by: null, mod_reason_title: null, mod_reports: list<item: null>, name: string, no_follow: bool, num_reports: null, parent: string, parent_id: string, parse: string, permalink: string, refresh: string, removal_reason: null, replies: string, reply: string, report: string, report_reasons: null, save: string, saved: bool, score: int64, score_hidden: bool, send_replies: bool, stickied: bool, submission: string, subreddit: string, subreddit_id: string, subreddit_name_prefixed: string, subreddit_type: string, top_awarded_type: null, total_awards_received: int64, treatment_tags: list<item: null>, unblock_subreddit: string, uncollapse: string, unrepliable_reason: null, unsave: string, ups: int64, upvote: string, user_reports: list<item: null>> to null
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1634, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 636, in finalize
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
arrays.append(pa.array(typed_sequence))
File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
out = cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1950, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type struct<MISSING_COMMENT_MESSAGE: string, STR_FIELD: string, all_awardings: list<item: null>, approved_at_utc: null, approved_by: null, archived: bool, associated_award: null, author: string, author_flair_background_color: string, author_flair_css_class: null, author_flair_richtext: list<item: null>, author_flair_template_id: null, author_flair_text: null, author_flair_text_color: string, author_flair_type: string, author_fullname: string, author_is_blocked: bool, author_patreon_flair: bool, author_premium: bool, award: string, awarders: list<item: null>, banned_at_utc: null, banned_by: null, block: string, body: string, body_html: string, can_gild: bool, can_mod_post: bool, clear_vote: string, collapse: string, collapsed: bool, collapsed_because_crowd_control: null, collapsed_reason: null, collapsed_reason_code: string, comment_type: null, controversiality: int64, created: double, created_utc: double, delete: string, depth: int64, disable_inbox_replies: string, distinguished: null, downs: int64, downvote: string, edit: string, edited: double, enable_inbox_replies: string, fullname: string, gild: string, gilded: int64, gildings: struct<>, id: string, id_from_url: string, is_root: bool, is_submitter: bool, likes: null, link_id: string, locked: bool, mark_read: string, mark_unread: string, mod: string, mod_note: null, mod_reason_by: null, mod_reason_title: null, mod_reports: list<item: null>, name: string, no_follow: bool, num_reports: null, parent: string, parent_id: string, parse: string, permalink: string, refresh: string, removal_reason: null, replies: string, reply: string, report: string, report_reasons: null, save: string, saved: bool, score: int64, score_hidden: bool, send_replies: bool, stickied: bool, submission: string, subreddit: string, subreddit_id: string, subreddit_name_prefixed: string, subreddit_type: string, top_awarded_type: null, total_awards_received: int64, treatment_tags: list<item: null>, unblock_subreddit: string, uncollapse: string, unrepliable_reason: null, unsave: string, ups: int64, upvote: string, user_reports: list<item: null>> to null
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1433, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1643, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
__key__
string | __url__
string | json
dict |
|---|---|---|
2024-11-20/1gw71kz/1gw71kz | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-11/AIhorror_2024-11-20.tar.gz | {
"comments": [],
"post": {
"STR_FIELD": "id",
"add_fetch_param": "<bound method Submission.add_fetch_param of Submission(id='1gw71kz')>",
"all_awardings": [],
"allow_live_comments": false,
"approved_at_utc": null,
"approved_by": null,
"archived": false,
"author": "nevixary",
"author_flair_background_color": null,
"author_flair_css_class": null,
"author_flair_richtext": [],
"author_flair_template_id": null,
"author_flair_text": null,
"author_flair_text_color": null,
"author_flair_type": "text",
"author_fullname": "t2_1buo9xt171",
"author_is_blocked": false,
"author_patreon_flair": false,
"author_premium": false,
"award": "<bound method GildableMixin.award of Submission(id='1gw71kz')>",
"awarders": [],
"banned_at_utc": null,
"banned_by": null,
"can_gild": false,
"can_mod_post": false,
"category": null,
"clear_vote": "<bound method VotableMixin.clear_vote of Submission(id='1gw71kz')>",
"clicked": false,
"comment_limit": 2048,
"comment_sort": "confidence",
"comments": "<praw.models.comment_forest.CommentForest object at 0x11a78ea70>",
"content_categories": null,
"contest_mode": false,
"created": 1732160504,
"created_date": "2024-11-20",
"created_utc": 1732160504,
"crosspost": "<bound method Submission.crosspost of Submission(id='1gw71kz')>",
"delete": "<bound method EditableMixin.delete of Submission(id='1gw71kz')>",
"disable_inbox_replies": "<bound method InboxToggleableMixin.disable_inbox_replies of Submission(id='1gw71kz')>",
"discussion_type": null,
"distinguished": null,
"domain": "youtu.be",
"downs": 0,
"downvote": "<bound method VotableMixin.downvote of Submission(id='1gw71kz')>",
"duplicates": "<bound method SubmissionListingMixin.duplicates of Submission(id='1gw71kz')>",
"edit": "<bound method EditableMixin.edit of Submission(id='1gw71kz')>",
"edited": false,
"enable_inbox_replies": "<bound method InboxToggleableMixin.enable_inbox_replies of Submission(id='1gw71kz')>",
"flair": "<praw.models.reddit.submission.SubmissionFlair object at 0x12a1a7d60>",
"full_link": "https://www.reddit.com/r/AIhorror/comments/1gw71kz/maleficient_just_launched_a_new_video_on/",
"fullname": "t3_1gw71kz",
"gild": "<bound method GildableMixin.gild of Submission(id='1gw71kz')>",
"gilded": 0,
"gildings": {},
"hidden": false,
"hide": "<bound method Submission.hide of Submission(id='1gw71kz')>",
"hide_score": false,
"id": "1gw71kz",
"id_from_url": "<function Submission.id_from_url at 0x103ec3880>",
"is_created_from_ads_ui": false,
"is_crosspostable": true,
"is_meta": false,
"is_original_content": false,
"is_reddit_media_domain": false,
"is_robot_indexable": true,
"is_self": false,
"is_video": false,
"likes": null,
"link_flair_background_color": "#ffb000",
"link_flair_css_class": "",
"link_flair_richtext": [],
"link_flair_template_id": "2ae45a42-3bc4-11ee-8e90-be9b1f5d7e22",
"link_flair_text": "ANIMATION/VIDEO",
"link_flair_text_color": "dark",
"link_flair_type": "text",
"locked": false,
"mark_visited": "<bound method Submission.mark_visited of Submission(id='1gw71kz')>",
"media": {
"oembed": {
"author_name": "Cosmic AI Studio",
"author_url": "https://www.youtube.com/@ari_square",
"height": 200,
"html": "<iframe width=\"356\" height=\"200\" src=\"https://www.youtube.com/embed/V52vw8xfklw?feature=oembed&enablejsapi=1\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Maleficient Horror | scary ai generated video | AI Artificial Intelligence Horror Shortfilm\"></iframe>",
"provider_name": "YouTube",
"provider_url": "https://www.youtube.com/",
"thumbnail_height": 360,
"thumbnail_url": "https://i.ytimg.com/vi/V52vw8xfklw/hqdefault.jpg",
"thumbnail_width": 480,
"title": "Maleficient Horror | scary ai generated video | AI Artificial Intelligence Horror Shortfilm",
"type": "video",
"version": "1.0",
"width": 356
},
"type": "youtube.com"
},
"media_embed": {
"content": "<iframe width=\"356\" height=\"200\" src=\"https://www.youtube.com/embed/V52vw8xfklw?feature=oembed&enablejsapi=1\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Maleficient Horror | scary ai generated video | AI Artificial Intelligence Horror Shortfilm\"></iframe>",
"height": 200,
"scrolling": false,
"width": 356
},
"media_only": false,
"mod": "<praw.models.reddit.submission.SubmissionModeration object at 0x11a78e5c0>",
"mod_note": null,
"mod_reason_by": null,
"mod_reason_title": null,
"mod_reports": [],
"name": "t3_1gw71kz",
"no_follow": true,
"num_comments": 0,
"num_crossposts": 2,
"num_reports": null,
"over_18": false,
"parse": "<bound method PRAWBase.parse of <class 'praw.models.reddit.submission.Submission'>>",
"permalink": "/r/AIhorror/comments/1gw71kz/maleficient_just_launched_a_new_video_on/",
"pinned": false,
"post_hint": "rich:video",
"preview": {
"enabled": false,
"images": [
{
"source": {
"url": "https://external-preview.redd.it/pbTnAhhMVt2YeEiGayfoDubADi0fhFckceO3fSf6Fa4.jpg?auto=webp&s=9e5720afe385f941553d761610f7d9dbbd81c857",
"width": 480,
"height": 360
},
"resolutions": [
{
"url": "https://external-preview.redd.it/pbTnAhhMVt2YeEiGayfoDubADi0fhFckceO3fSf6Fa4.jpg?width=108&crop=smart&auto=webp&s=d1b55155250c29ebea2a02161975bc451a348ab3",
"width": 108,
"height": 81
},
{
"url": "https://external-preview.redd.it/pbTnAhhMVt2YeEiGayfoDubADi0fhFckceO3fSf6Fa4.jpg?width=216&crop=smart&auto=webp&s=639400f22b9684b6fad6313a6859d0778d952ac8",
"width": 216,
"height": 162
},
{
"url": "https://external-preview.redd.it/pbTnAhhMVt2YeEiGayfoDubADi0fhFckceO3fSf6Fa4.jpg?width=320&crop=smart&auto=webp&s=6a0d425249d14b62893f31654db0d7e5cefd3ba2",
"width": 320,
"height": 240
}
],
"variants": {},
"id": "W6kUcXSiyMbMHjq1wTlgZHBZgcZWoXXPrYXTOhYJXTc"
}
]
},
"pwls": null,
"quarantine": false,
"removal_reason": null,
"removed_by": null,
"removed_by_category": null,
"reply": "<bound method ReplyableMixin.reply of Submission(id='1gw71kz')>",
"report": "<bound method ReportableMixin.report of Submission(id='1gw71kz')>",
"report_reasons": null,
"save": "<bound method SavableMixin.save of Submission(id='1gw71kz')>",
"saved": false,
"score": 2,
"secure_media": {
"oembed": {
"author_name": "Cosmic AI Studio",
"author_url": "https://www.youtube.com/@ari_square",
"height": 200,
"html": "<iframe width=\"356\" height=\"200\" src=\"https://www.youtube.com/embed/V52vw8xfklw?feature=oembed&enablejsapi=1\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Maleficient Horror | scary ai generated video | AI Artificial Intelligence Horror Shortfilm\"></iframe>",
"provider_name": "YouTube",
"provider_url": "https://www.youtube.com/",
"thumbnail_height": 360,
"thumbnail_url": "https://i.ytimg.com/vi/V52vw8xfklw/hqdefault.jpg",
"thumbnail_width": 480,
"title": "Maleficient Horror | scary ai generated video | AI Artificial Intelligence Horror Shortfilm",
"type": "video",
"version": "1.0",
"width": 356
},
"type": "youtube.com"
},
"secure_media_embed": {
"content": "<iframe width=\"356\" height=\"200\" src=\"https://www.youtube.com/embed/V52vw8xfklw?feature=oembed&enablejsapi=1\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Maleficient Horror | scary ai generated video | AI Artificial Intelligence Horror Shortfilm\"></iframe>",
"height": 200,
"media_domain_url": "https://www.redditmedia.com/mediaembed/1gw71kz",
"scrolling": false,
"width": 356
},
"selftext": "Hi everyone,\nI’m AI Studio, and I recently started my YouTube channel, Cosmic AI Studio! I’ve been exploring the creative possibilities of AI, and I’m excited to share my latest project with you all: an AI-generated horror short film.\n\nIt’s a unique blend of AI technology and storytelling, crafted to deliver some chills and thrills. If you’re a fan of horror or curious about how AI is shaping creative content, this is for you!\n\nI’d love to hear your thoughts—whether it’s about the story, the visuals, or the overall vibe. Your feedback would mean a lot as I continue to refine my content.\n\nThanks for taking the time to check it out, and I look forward to connecting with fellow horror and AI enthusiasts here!\n\nCheers,\nAI Studio",
"selftext_html": "<!-- SC_OFF --><div class=\"md\"><p>Hi everyone,\nI’m AI Studio, and I recently started my YouTube channel, Cosmic AI Studio! I’ve been exploring the creative possibilities of AI, and I’m excited to share my latest project with you all: an AI-generated horror short film.</p>\n\n<p>It’s a unique blend of AI technology and storytelling, crafted to deliver some chills and thrills. If you’re a fan of horror or curious about how AI is shaping creative content, this is for you!</p>\n\n<p>I’d love to hear your thoughts—whether it’s about the story, the visuals, or the overall vibe. Your feedback would mean a lot as I continue to refine my content.</p>\n\n<p>Thanks for taking the time to check it out, and I look forward to connecting with fellow horror and AI enthusiasts here!</p>\n\n<p>Cheers,\nAI Studio</p>\n</div><!-- SC_ON -->",
"send_replies": true,
"shortlink": "https://redd.it/1gw71kz",
"spoiler": false,
"stickied": false,
"subreddit": "AIhorror",
"subreddit_id": "t5_6dgo26",
"subreddit_name_prefixed": "r/AIhorror",
"subreddit_subscribers": 388,
"subreddit_type": "public",
"suggested_sort": null,
"thumbnail": "https://b.thumbs.redditmedia.com/XxX2bImHxj1WuALHUSP6ANfltmEFeDkttxzxq7eOPAw.jpg",
"thumbnail_height": 105,
"thumbnail_width": 140,
"title": "\"Maleficient\" - Just Launched a New Video on AI-Generated Horror! Would Love Your Feedback!",
"top_awarded_type": null,
"total_awards_received": 0,
"treatment_tags": [],
"unhide": "<bound method Submission.unhide of Submission(id='1gw71kz')>",
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2024-12-20/1hiqran/1hiqran_5 | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-12/AIhorror_2024-12-20.tar.gz | null |
2024-12-20/1hiqran/1hiqran_6 | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-12/AIhorror_2024-12-20.tar.gz | null |
2024-12-20/1hiqran/1hiqran_7 | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-12/AIhorror_2024-12-20.tar.gz | null |
2024-12-20/1hiqran/1hiqran_8 | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-12/AIhorror_2024-12-20.tar.gz | null |
2024-12-20/1hiqran/1hiqran_9 | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-12/AIhorror_2024-12-20.tar.gz | null |
2024-12-22/1hk70mi/1hk70mi | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-12/AIhorror_2024-12-22.tar.gz | {
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2024-12-30/1hpyw1x/1hpyw1x | hf://datasets/taesiri/RedditDailyBackup@48c3867255ba7a17e7f55917edc9882649061abb/data/AIhorror/2024-12/AIhorror_2024-12-30.tar.gz | {
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