Unable to load ORPO dataset in a *.json file

[SicariusSicariiStuff]

Please check that this issue hasn't been reported before.

• [X] I searched previous Bug Reports didn't find any similar reports.

Expected Behavior

Local dataset to work the same as with loading a dataset from HF hub

Current behaviour

FileNotFoundError: Couldn't find a dataset script at

Steps to reproduce

If you have:

rl: orpo
orpo_alpha: 0.1
chat_template: chatml
datasets:
  - path: HF_username/Dataset_name
    type: chat_template.argilla
    chat_template: chatml

Replace it with the same file locally (parquet\json doesn't matter) And you'll get :

FileNotFoundError: Couldn't find a dataset script at

Config yaml

base_model: SicariusSicariiStuff/2B-ad
output_dir: /home/sicarius/test/
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
save_safetensors: true

num_epochs: 2
saves_per_epoch: 1
saves_per_epoch: 1
save_total_limit: 2

learning_rate: 4e-6
lora_r: 16
lora_alpha: 32

sequence_len: 1024

lora_target_modules:

rl: orpo
orpo_alpha: 0.1
chat_template: chatml
datasets:
  - path: /home/sicarius/test/orpo1.json
    type: chat_template.argilla
    chat_template: chatml

remove_unused_columns: false
sample_packing: false
eval_sample_packing: false
pad_to_sequence_len: false

val_set_size: 0.0


adapter: qlora
lora_dropout: 0
lora_target_linear: true
load_in_8bit: false
load_in_4bit: true
strict: false

gradient_accumulation_steps: 1
micro_batch_size: 1

#optimizer: adamw_torch
optimizer: adamw_bnb_8bit
lr_scheduler: cosine


train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 0
#warmup_ratio: 0.1
evals_per_epoch:
eval_table_size:
eval_max_new_tokens: 128

debug:
#deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_all.json
weight_decay: 0.0
fsdp:
fsdp_config:
lora_modules_to_save: [embed_tokens, lm_head]
special_tokens:
  eos_token: "<|im_end|>"
  pad_token: "<|end_of_text|>"
tokens:
  - "<|im_start|>"
  - "<|im_end|>"

Possible solution

Using a similar processing logic as in a loaded dataset from the hub

Which Operating Systems are you using?

• [X] Linux
• [ ] macOS
• [ ] Windows

Python Version

3.10

axolotl branch-commit

latest release

Acknowledgements

• [X] My issue title is concise, descriptive, and in title casing.
• [X] I have searched the existing issues to make sure this bug has not been reported yet.
• [X] I am using the latest version of axolotl.
• [X] I have provided enough information for the maintainers to reproduce and diagnose the issue.