Merge pull request #15 from NanoCode012/feat/completion

Feat: Add Completion dataset type

src/axolotl/prompt_tokenizers.py

@@ -125,6 +125,25 @@ class NomicGPT4AllPromptTokenizingStrategy(InstructionPromptTokenizingStrategy):
         )
 
 
+class CompletionPromptTokenizingStrategy(InstructionPromptTokenizingStrategy):
+    def parse_instruction_fields(self, prompt) -> (str):
+        return (
+            prompt["text"]
+        )
+
+    def tokenize_prompt(self, prompt):
+        instruction = self.parse_instruction_fields(prompt)
+        full_prompt = self._build_full_prompt(instruction)
+        tokenized_full_prompt = self._tokenize(full_prompt)
+
+        return tokenized_full_prompt
+
+    def _build_full_prompt(self, instruction):
+        return self.prompter.build_prompt(
+            instruction
+        )
+
+
 class ReflectionPromptTokenizingStrategy(PromptTokenizingStrategy):
     def parse_instruction_fields(self, prompt) -> (str, str, str, str, str):
         raise NotImplementedError

src/axolotl/prompters.py

@@ -35,6 +35,17 @@ class JeopardyPrompter(AlpacaPrompter):
     prompt_input = "Below is a Jeopardy clue paired with input providing the category of the clue. Write a concise response that best answers tbe clue given the category.\n\n### Instruction:\n{instruction}\n\n### Input:\n{input}\n\n### Response:\n"
 
 
+class CompletionPrompter(AlpacaPrompter):
+    def build_prompt(
+        self,
+        instruction: str
+    ) -> str:
+        return instruction
+
+    def get_response(self, output: str) -> str:
+        return output.strip()
+
+
 class GPTeacherPrompter(AlpacaPrompter):
     ...
 

src/axolotl/utils/data.py

@@ -11,13 +11,17 @@ from axolotl.prompt_tokenizers import (
     GPTeacherPromptTokenizingStrategy,
     OpenAssistantPromptTokenizingStrategy,
     AlpacaReflectionPTStrategy,
-    ShareGPTPromptTokenizingStrategy, JeopardyPromptTokenizingStrategy,
+    ShareGPTPromptTokenizingStrategy,
+    JeopardyPromptTokenizingStrategy,
+    CompletionPromptTokenizingStrategy,
 )
 from axolotl.prompters import (
     AlpacaPrompter,
     GPTeacherPrompter,
     ReflectAlpacaPrompter,
-    ShareGPTPrompter, JeopardyPrompter,
+    ShareGPTPrompter,
+    JeopardyPrompter,
+    CompletionPrompter,
 )
 
 
@@ -118,6 +122,15 @@ def load_prepare_datasets(tokenizer, cfg, default_dataset_prepared_path):
                 )
                 ds_wrapper = TokenizedPromptDataset(ds_strategy, ds["train"])
                 datasets.append(ds_wrapper)
+            elif d.type == "completion":
+                ds_strategy = CompletionPromptTokenizingStrategy(
+                    CompletionPrompter(),
+                    tokenizer,
+                    cfg.train_on_inputs,
+                    cfg.sequence_len,
+                )
+                ds_wrapper = TokenizedPromptDataset(ds_strategy, ds["train"])
+                datasets.append(ds_wrapper)
             else:
                 logging.error(f"unhandled prompt tokenization strategy: {d.type}")
         logging.info("tokenizing, merging, and shuffling master dataset")