The dataset viewer is not available for this subset.
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/folder_based_builder/folder_based_builder.py", line 211, in _split_generators
raise ValueError(
f"Metadata files {downloaded_metadata_file} and {features_per_metadata_file[0][0]} have different features: {features_per_metadata_file[0]} != {metadata_features}"
)
ValueError: Metadata files hf://datasets/anxbrt/chandra-composed-indic-pages@f75450c21ff7d0348f14a9a7ba19d1f0f9f87642/data/v2-word-composed-10k/validation/hi_en/metadata.jsonl and hf://datasets/anxbrt/chandra-composed-indic-pages@f75450c21ff7d0348f14a9a7ba19d1f0f9f87642/data/v1-composed-6k/train/metadata.jsonl have different features: ('hf://datasets/anxbrt/chandra-composed-indic-pages@f75450c21ff7d0348f14a9a7ba19d1f0f9f87642/data/v1-composed-6k/train/metadata.jsonl', {'file_name': Value('string'), 'text': Value('string'), 'sample_id': Value('string'), 'split': Value('string'), 'language_mode': Value('string'), 'script_mix': Value('string'), 'layout_family': Value('string'), 'purpose_id': Value('string'), 'degradation_profile': Value('string'), 'resolution_profile': Value('string'), 'image_sha256': Value('string'), 'target_sha256': Value('string')}) != {'file_name': Value('string'), 'text': Value('string'), 'sample_id': Value('string'), 'split': Value('string'), 'language_mode': Value('string'), 'layout_family': Value('string'), 'purpose_id': Value('string'), 'template_id': Value('string'), 'table_heavy': Value('bool'), 'degradation': {'blur_radius': Value('float64'), 'contrast': Value('float64'), 'height': Value('int64'), 'jpeg_quality': Value('int64'), 'noise_sigma': Value('float64'), 'profile': Value('string'), 'rotation_degrees': Value('float64'), 'width': Value('int64')}, 'image_sha256': Value('string'), 'target_sha256': Value('string')}
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.
Chandra composed Indic pages, v1
Private research dataset for page-image-to-HTML OCR. It contains 6,000 composed full-page JPG images and exact HTML transcription targets.
Splits and proportions
| Split | Pages | Share |
|---|---|---|
| Train | 4,800 | 80% |
| Validation | 600 | 10% |
| Test | 600 | 10% |
Each language mode has 1,200 pages (20%): Hindi (hi), Odia (or),
English (en), Hindi-English (hi_en), and Odia-English (or_en).
Resolution is 25% 1 MP, 50% 2 MP, and 25% 4 MP. Each degradation profile has
1,200 pages.
Format
Each split contains language folders and a metadata.jsonl. Every metadata
row has a relative file_name, complete HTML text, split, language,
layout, purpose, degradation, resolution, and integrity hashes. Source crop
paths and writer identifiers are intentionally absent.
Limitations and access
This is composed supervision, not a claim of generalization to all real forms or handwriting styles. It is a private research artifact. Do not make it public or redistribute it without confirming source-data terms and attribution.
Word-composed extension (v2, 10k)
The repository also contains data/v2-word-composed-10k/, a private
whole-word-composed Hindi/Hindi-English extension. It has 8,000 train, 1,000
validation, and 1,000 sealed-test pages. v1 and v2 remain separate on disk;
combined training uses explicit manifests so no split can leak into training.
The v2 corpus contains no character assembly. Its public release excludes crop source paths, writer IDs, crop inventories, and placement provenance.
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