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The dataset generation failed
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 dataset

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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)
End of preview.

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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