RACER IS OP — Odia Web Corpus
Collection
Odia NLP datasets curated by RACER IS OP — web corpora for low-resource Odia language modeling • 7 items • Updated
Error code: StreamingRowsError
Exception: ValueError
Message: Bad split: pretrain_train. Available splits: ['train', 'validation', 'test']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 118, in get_rows
ds = safe_load_dataset(
dataset,
...<4 lines>...
download_config=download_config,
)
File "/src/services/worker/src/worker/utils.py", line 476, in safe_load_dataset
return load_dataset(
path,
...<5 lines>...
token=token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1715, in load_dataset
return builder_instance.as_streaming_dataset(split=split)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1154, in as_streaming_dataset
raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}")
ValueError: Bad split: pretrain_train. Available splits: ['train', 'validation', 'test']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.
Fourth-generation Odia corpus featuring both pretraining data (deduplicated, quality-filtered web text) and instruction-tuning data formatted in ChatML. Built by merging and enhancing v1–v3.
or)| Split | Description | Examples |
|---|---|---|
pretrain_train |
Pretraining corpus (train) | ~900K |
pretrain_validation |
Pretraining corpus (validation) | ~50K |
pretrain_test |
Pretraining corpus (test) | ~50K |
sft_chatml_train |
Instruction-tuning (train) | ~50K |
sft_chatml_validation |
Instruction-tuning (validation) | ~5K |
sft_chatml_test |
Instruction-tuning (test) | ~5K |
| Field | Type | Description |
|---|---|---|
text |
string | Document text (pretrain) or ChatML-formatted conversation (SFT) |
from datasets import load_dataset
# Pretraining data
pretrain = load_dataset("saidutta69/Odia-Web-Corpus-v4", data_files="pretrain_train.jsonl.gz", split="train")
# SFT data
sft = load_dataset("saidutta69/Odia-Web-Corpus-v4", data_files="sft_chatml_train.jsonl.gz", split="train")
This dataset incorporates and extends:
@misc{odia-web-corpus-v4,
author = {Sai Dutta},
title = {Odia Web Corpus v4},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/saidutta69/Odia-Web-Corpus-v4}
}