The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, 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.
jsonl unknown | __key__ string | __url__ string |
|---|---|---|
[] | adima | hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000.tar |
[
123,
34,
102,
105,
108,
101,
34,
58,
32,
34,
97,
117,
100,
47,
97,
100,
105,
109,
97,
50,
47,
48,
48,
48,
48,
48,
48,
46,
102,
108,
97,
99,
34,
44,
32,
34,
116,
101,
120,
116,
34,
58,
32,
34,
34,
44,
32,
34,
109,
101,
... | adima2 | hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000.tar |
"eyJmaWxlIjogImF1ZC9hc3Jfa24vMDAwMDAwLmZsYWMiLCAidGV4dCI6ICLgsq3gsrDgsqTgsqjgsr7gsp/gs43gsq/gsqYg4LK(...TRUNCATED) | asr_kn | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
[] | asr_ml | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
"eyJmaWxlIjogImF1ZC9hc3JfcGEvMDAwMDAwLmZsYWMiLCAidGV4dCI6ICLgqLLgqYvgqJUg4KiF4Kiw4Kim4Ki+4Ki44Ki+4Ki(...TRUNCATED) | asr_pa | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
"eyJmaWxlIjogImF1ZC9hc3NhbWVzZV9zcGVlY2hfY29ycHVzLzAwMDAwMC5mbGFjIiwgInRleHQiOiAi4KaV4Ka/4Kak4Ka+4Ka(...TRUNCATED) | assamese_speech_corpus | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
"eyJmaWxlIjogImltZy9iYW5nbGFfb2NyLzAwMDAwMC5qcGciLCAidGV4dCI6ICLgppzgp4Dgpqzgpqjgp4cg4Kaa4Kay4Kak4Ke(...TRUNCATED) | bangla_ocr | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
"eyJmaWxlIjogImltZy9iYW5nbGFfb2NyX2RhdGFzZXQvMDAwMDAwLmpwZyIsICJ0ZXh0IjogIuCmhuCmruCmvuCmsCDgprngpr7(...TRUNCATED) | bangla_ocr_dataset | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
"eyJmaWxlIjogImltZy9iYW5nbGFfb2NyX3ZhbGlkYXRpb25fZGF0YV9wLzAwMDAwMC5qcGciLCAidGV4dCI6ICLgppXgp4vgpqj(...TRUNCATED) | bangla_ocr_validation_data_p | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
"eyJmaWxlIjogImF1ZC9iZW5nYWxpX2FpX3NwZWVjaC8wMDAwMDAuZmxhYyIsICJ0ZXh0IjogIuCmkyDgpqzgprLgp4fgppvgp4c(...TRUNCATED) | bengali_ai_speech | "hf://datasets/Sandy-sys/aditi-ps18-media@313b1ae6ae3fda7f2bb86de0557dcf13bb512c43/shards/media-0000(...TRUNCATED) |
ADITI PS-18 — source references (not a data mirror)
Datasets are referenced, never redistributed. This repo carries a pinned manifest — repo id + exact commit SHA + file patterns + licence — so the corpus is reproducible byte-for-byte without re-hosting anyone's data.
Why: several sources carry platform terms that forbid redistribution (Reddit/ConvoKit, Twitter-derived, ShareChat/Moj). The acquisition policy for this programme is explicit — "do not redistribute raw social-media content unless the applicable platform and dataset terms permit it." Referencing satisfies that; mirroring 55 GB of scraped media does not.
Contents
| file | what |
|---|---|
sources.json |
207 sources, 169 pinned by commit SHA · 169 HF + 38 GitHub |
CITATIONS.bib |
BibTeX for the primary datasets |
TRAINING_CONTEXT.json |
every training run, corpus composition, hardware, all gate results |
refetch.py |
reproduces the corpus from the pinned manifest |
harvest_media.py |
images → 896 px JPEG q85 · audio → 16 kHz mono FLAC ≤15 s |
build_corpus_mm.py |
media → multimodal training records |
Reproduce
python refetch.py --manifest sources.json --out /workspace/aditi/media # pinned SHAs
python harvest_media.py # normalise + flush
python build_corpus_mm.py --out corpus/aditi_mm_big.jsonl --vision-cap 60000 --audio-cap 60000
Yields 305,539 media items (97,365 images + 208,174 audio, 12+ Indic languages incl. Kashmiri, Sindhi, Santali, Bodo, Manipuri) → 116,266 multimodal training records. Runtime ~2 h. Disk stays flat — each source is flushed after extraction.
Eval firewall — never train on these
FLORES-200 · Bhasha-Abhijnaanam · IndicGenBench · IndicParam · MILU · IN22-Gen · IndicXTREME ·
IndicVisionBench · naamapadam TEST · IndicSentiment TEST · AVeriTeC DEV · RAGTruth TEST ·
COMI-LINGUA LID_test · x-fact ood/zeroshot · Article-Bias test.tsv
Licence of this manifest: metadata only. Each referenced dataset retains its own licence —
see the licence field per entry in sources.json.
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