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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
English: string
Zomi: string
Explanation: string
Tags: string
english: null
zomi: null
source: null
domain: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 713
to
{'english': Value('string'), 'zomi': Value('string'), 'source': Value('string'), 'domain': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              English: string
              Zomi: string
              Explanation: string
              Tags: string
              english: null
              zomi: null
              source: null
              domain: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 713
              to
              {'english': Value('string'), 'zomi': Value('string'), 'source': Value('string'), 'domain': Value('string')}
              because column names don't match

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🌏 ZOMI OPEN AI INITIATIVE 🌏

Bridging the Digital Divide via Neural Machine Translation

License Language Task Status Version Data_Quality

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πŸ“‘ Table of Contents

  1. Project Overview & Mission
  2. Dataset Statistics & Analytics
  3. The Zomi AI Architecture
  4. Linguistic Profile: Understanding Zomi
  5. Advanced Usage Guide (Python/API)
  6. Model Benchmarks & Performance
  7. Contribution & Roadmap
  8. Data Governance, Ethics & License
  9. Citation

πŸš€ Project Overview & Mission

The Zomi Language (ISO 639-3: ctd / zom) is the lingua franca of the Zomi people across the highlands of Myanmar, India (Manipur/Mizoram), and Bangladesh. Despite a vibrant literary history and millions of speakers, it remains "Low-Resource" in the global digital ecosystem.

The Zomi-English Parallel Intelligence Corpus (ZEPIC) is the world's first open-source, machine-readable dataset designed specifically for Large Language Model (LLM) fine-tuning. It moves beyond simple dictionary matching to capture semantic context, idiomatic expressions, and syntactic alignment.

Core Objectives

  • Digital Sovereignty: Owning our data to prevent digital extinction and ensuring the Zomi identity thrives in the AI era.
  • Educational Access: Enabling instant translation of global knowledge (Science, Medicine, Law) into Zomi.
  • Cultural Archiving: Preserving oral history and literature through advanced text generation.

πŸ“Š Dataset Statistics & Analytics

We employ rigorous data cleaning (deduplication, length-ratio filtering) to ensure high-quality training signals.

Metric Value Details
Total Sentence Pairs 15,000+ Validated English-Zomi bitexts.
Token Count (En) ~250,000 English Source Tokens.
Token Count (Zomi) ~240,000 Zomi Target Tokens (Agglutinative).
Vocabulary Size 28,400 Unique Zomi word forms.
Avg. Sentence Length 14.2 Words Ideal for Transformer context windows.
Dialect Standard Zomi (Standard) Based on the Tedim literary standard.

Domain Distribution

pie title Source Domain Distribution
    "General Conversation" : 40
    "Religious/Theological" : 30
    "News & Media" : 15
    "Educational/Science" : 10
    "Legal/Formal" : 5
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