Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'devanagari' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
synthetic-indic-manuscripts
Synthetic historical-manuscript folios (aged handmade paper and palm leaf) with synchronised ground-truth transcriptions, for training OCR / HTR models on Indic scripts.
| Subset | Script | Train | Validation | Test |
|---|---|---|---|---|
devanagari |
Devanagari | 85 | 10 | 5 |
modi |
Modi | 85 | 10 | 5 |
sharada |
Sharada | 85 | 10 | 5 |
from datasets import load_dataset
ds = load_dataset("Chinmai2005/synthetic-indic-manuscripts", "modi") # or "devanagari", "sharada"
print(ds["train"][0]["text"])
Each split folder contains Image_<n>.png, the matching Image_<n>.md transcription and a
metadata.jsonl (material, layout, font, line bounding boxes, highlighted spans, seed).
Generated with the open-source pipeline described in the code repository README.
Texts are public-domain Marathi / Hindi / Sanskrit verses (Modi and Sharada are transliterated by Unicode character name).
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