datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
train-vlm
train-vlm
A fine-tuning corpus for Nepali (Devanagari) government-document OCR and
layout analysis, built to adapt a vision-language model (dots.ocr) to Nepali
paperwork without erasing what it already knows.
About half the corpus by tokens is the target task: synthetic and real-layout
Nepali pages. The other half is replay data from general VQA, English
document QA, and handwritten math, mixed in on purpose. The split follows
Fine-tuning VLMs Without Forgetting. The failure… See the full description on the dataset page: https://huggingface.co/datasets/W4ashabii/train-vlm.filteredraw-mergedfiltered-embedmmu_vipers_w4
mmu_vipers_w4 HATS Catalog Collection
This is the collection of HATS catalogs representing mmu_vipers_w4.
This dataset is part of the Multimodal Universe,
a large-scale collection of multimodal astronomical data. For full details, see the paper:
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TBs of Astronomical Scientific Data.
Access the catalog
We recommend the use of the LSDB Python framework to access HATS catalogs.
LSDB can be… See the full description on the dataset page: https://huggingface.co/datasets/LSDB/mmu_vipers_w4.my_apple_sim_datasetssynthetic_datascans-corpwmt14-de-en-bucketed-w4multi3k-de-en-bucketed-w4multi30k-de-en-500-seed5-bucketed-w4nanochat-depo-composition-depth2-w4-retry-20260715
Nanochat Depo composition v1
Each 16-node single-cycle graph yields eight independent one-query documents:
four base starts paired across query depths (1, 2).
This source contains train and validation splits only. Phase depth is
2; the materialized context width is 4.
multi30k-de-en-500-seed123-bucketed-w4opinion_qa_panel_W49_train-sample_100-responsessquare-d1-dagger-mined-v10b-w4-r5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-d1-dagger-mined-v10b-w4-r5.square-dagger-mined-v10b-w4-r2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-dagger-mined-v10b-w4-r2.square-d1-dagger-blind-mined-v10b-w4-r15This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-d1-dagger-blind-mined-v10b-w4-r15.square-d1-dagger-mined-v10b-w4-r11This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "panda",
"total_episodes": 100,
"total_frames": 21929,
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-d1-dagger-mined-v10b-w4-r11.square-dagger-mined-v10b-w4-r5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-dagger-mined-v10b-w4-r5.square-d1-dagger-blind-mined-v10b-w4-r16This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"total_frames": 23587,
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-d1-dagger-blind-mined-v10b-w4-r16.square-dagger-v3a-mined-v10b-w4-r2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "panda",
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-dagger-v3a-mined-v10b-w4-r2.multi30k-de-en-500-seed13-bucketed-w4square-dagger-blind-mined-v10b-w4-r2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "panda",
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"total_frames": 19715,
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"fps": 20,
"splits": {
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},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-dagger-blind-mined-v10b-w4-r2.multi30k-de-en-500-seed42-bucketed-w4square-d1-dagger-blind-mined-v10b-w4-r5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_frames": 22626,
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-d1-dagger-blind-mined-v10b-w4-r5.square-d1-dagger-v3a-mined-v10b-w4-r15This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-d1-dagger-v3a-mined-v10b-w4-r15.square-d1-dagger-blind-mined-v10b-w4-r11This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "panda",
"total_episodes": 100,
"total_frames": 22729,
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/square-d1-dagger-blind-mined-v10b-w4-r11.wmt14-de-en-100k-sample-bucketed-w4-20k-batchesnanochat-depo-composition-depth2-w4-transport-20260715
Nanochat Depo composition v1
Each 16-node single-cycle graph yields eight independent one-query documents:
four base starts paired across query depths (1, 2).
This source contains train and validation splits only. Phase depth is
2; the materialized context width is 4.
africa-who-percentage-of-principal-display-area-mandated-to-be-covered-w4pcbackc
Africa — WHO GHO: Percentage of principal display area mandated to be covered by health warnings - back of smokeless tobacco packaging | Africa (World Health Organization)
Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-percentage-of-principal-display-area-mandated-to-be-covered-w4pcbackc.