all unit tests, big update

docs/source/api_ref_datasets.rst

@@ -13,4 +13,4 @@ torchtune.datasets
     alpaca_dataset
     grammar_dataset
     samsum_dataset
-    SlimOrcaDataset
+    slimorca_dataset

docs/source/examples/configs.rst

@@ -243,5 +243,5 @@ name directly. Any nested fields in the components can be overridden with dot no
 
 .. code-block:: bash
 
-    # Change to SlimOrcaDataset and set train_on_input to False
-    tune full_finetune --config my_config.yaml dataset=torchtune.datasets.SlimOrcaDataset dataset.train_on_input=False
+    # Change to slimorca_dataset and set train_on_input to False
+    tune full_finetune --config my_config.yaml dataset=torchtune.datasets.slimorca_dataset dataset.train_on_input=False

tests/torchtune/config/test_utils.py

@@ -9,10 +9,11 @@
 import pytest
 from torchtune.config._utils import (
     _get_component_from_path,
+    _get_template,
     _merge_yaml_and_cli_args,
     InstantiationError,
-    _get_template,
 )
+from torchtune.data import AlpacaInstructTemplate
 from torchtune.utils.argparse import TuneArgumentParser
 
 _CONFIG = {

tests/torchtune/data/test_templates.py

@@ -4,12 +4,23 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+import pytest
 from torchtune.data import (
     AlpacaInstructTemplate,
+    ChatMLTemplate,
     GrammarErrorCorrectionTemplate,
+    Llama2ChatTemplate,
+    MistralChatTemplate,
     SummarizeTemplate,
 )
 
+# Taken from Open-Orca/SlimOrca-Dedup on HuggingFace
+CHAT_SAMPLE = {
+    "system": "You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.",  # noqa: B950
+    "user": "Please briefly summarize this news article:\n\nAOL.com Video - Father Lets 8-Year-Old Drive On Icy Road\n\nDescription:Would you let your 8-year-old drive your car? How about on an icy road? Well one father in Russia did just that, and recorded the entire thing. To her credit, the child seemed to be doing a great job. (0:44)\n\nTags: 8-year-old driver , caught on camera , child driver , pix11\n\nSummary:",  # noqa: B950
+    "assistant": "A father in Russia allowed his 8-year-old child to drive his car on an icy road and recorded the event. The child appeared to be handling the situation well, showcasing their driving skills despite the challenging conditions.",  # noqa: B950
+}
+
 
 class TestAlpacaInstructTemplate:
     samples = [
@@ -144,3 +155,98 @@ def test_format_with_column_map(self):
             actual = self.template.format(modified_sample, column_map=column_map)
 
             assert actual == expected_prompt
+
+
+class TestLlama2ChatTemplate:
+    expected_prompt = (
+        "[INST] <<SYS>>\nYou are an AI assistant. User will you give you a task. "
+        "Your goal is to complete the task as faithfully as you can. While performing "
+        "the task think step-by-step and justify your steps.\n<</SYS>>\n\nPlease "
+        "briefly summarize this news article:\n\nAOL.com Video - Father Lets 8-Year-Old "
+        "Drive On Icy Road\n\nDescription:Would you let your 8-year-old drive your car? "
+        "How about on an icy road? Well one father in Russia did just that, and recorded "
+        "the entire thing. To her credit, the child seemed to be doing a great job. "
+        "(0:44)\n\nTags: 8-year-old driver , caught on camera , child driver , pix11\n\n"
+        "Summary: [/INST] "
+    )
+
+    template = Llama2ChatTemplate()
+
+    def test_format(self):
+        actual = self.template.format(CHAT_SAMPLE)
+        assert actual == self.expected_prompt
+
+    def test_format_with_column_map(self):
+        column_map = {"system": "not_system"}
+        modified_sample = CHAT_SAMPLE.copy()
+        modified_sample["not_system"] = modified_sample["system"]
+        del modified_sample["system"]
+
+        actual = self.template.format(modified_sample, column_map=column_map)
+
+        assert actual == self.expected_prompt
+
+
+class TestMistralChatTemplate:
+    expected_prompt = (
+        "[INST] Please briefly summarize this news article:\n\nAOL.com Video - Father Lets 8-Year-Old "
+        "Drive On Icy Road\n\nDescription:Would you let your 8-year-old drive your car? "
+        "How about on an icy road? Well one father in Russia did just that, and recorded "
+        "the entire thing. To her credit, the child seemed to be doing a great job. "
+        "(0:44)\n\nTags: 8-year-old driver , caught on camera , child driver , pix11\n\n"
+        "Summary: [/INST] "
+    )
+
+    template = MistralChatTemplate()
+
+    def test_format(self):
+        no_system_sample = CHAT_SAMPLE.copy()
+        del no_system_sample["system"]
+        actual = self.template.format(no_system_sample)
+        assert actual == self.expected_prompt
+
+        with pytest.raises(
+            ValueError, match="System prompts are not supported in MistralChatTemplate"
+        ):
+            _ = self.template.format(CHAT_SAMPLE)
+
+    def test_format_with_column_map(self):
+        column_map = {"user": "not_user"}
+        modified_sample = CHAT_SAMPLE.copy()
+        modified_sample["not_user"] = modified_sample["user"]
+        del modified_sample["system"]
+        del modified_sample["user"]
+
+        actual = self.template.format(modified_sample, column_map=column_map)
+
+        assert actual == self.expected_prompt
+
+
+class TestChatMLTemplate:
+    expected_prompt = (
+        "<|im_start|>system\nYou are an AI assistant. User will you give you a task. "
+        "Your goal is to complete the task as faithfully as you can. While performing "
+        "the task think step-by-step and justify your steps.<|im_end|>\n<|im_start|>user\nPlease "
+        "briefly summarize this news article:\n\nAOL.com Video - Father Lets 8-Year-Old "
+        "Drive On Icy Road\n\nDescription:Would you let your 8-year-old drive your car? "
+        "How about on an icy road? Well one father in Russia did just that, and recorded "
+        "the entire thing. To her credit, the child seemed to be doing a great job. "
+        "(0:44)\n\nTags: 8-year-old driver , caught on camera , child driver , pix11\n\n"
+        "Summary:<|im_end|>\n<|im_start|>assistant\n"
+    )
+
+    template = ChatMLTemplate()
+
+    def test_format(self):
+        actual = self.template.format(CHAT_SAMPLE)
+        assert actual == self.expected_prompt
+
+    def test_format_with_column_map(self):
+        column_map = {"system": "not_system"}
+        modified_sample = CHAT_SAMPLE.copy()
+        modified_sample["not_system"] = modified_sample["system"]
+        del modified_sample["system"]
+
+        actual = self.template.format(modified_sample, column_map=column_map)
+
+        assert actual == self.expected_prompt

tests/torchtune/data/test_utils.py

@@ -0,0 +1,95 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from torchtune.data import tokenize_prompt_and_response, truncate_if_necessary
+from torchtune.data._common import CROSS_ENTROPY_IGNORE_IDX
+
+
+class DummyTokenizer:
+    def encode(self, text, **kwargs):
+        words = text.split()
+        return [len(word) for word in words]
+
+    @property
+    def eos_id(self):
+        return -1
+
+
+def test_tokenize_prompt_and_response():
+    tokenizer = DummyTokenizer()
+    prompt = "Instruction:\nThis is an instruction.\n\nInput:\nThis is an input.\n\nResponse: "
+    response = "I always know what I'm doing, do you?"
+    prompt_length = 11
+    expected_tokenized_prompt = [
+        12,
+        4,
+        2,
+        2,
+        12,
+        6,
+        4,
+        2,
+        2,
+        6,
+        9,
+        1,
+        6,
+        4,
+        4,
+        3,
+        6,
+        2,
+        4,
+    ]
+    expected_tokenized_label = [CROSS_ENTROPY_IGNORE_IDX] * prompt_length + [
+        1,
+        6,
+        4,
+        4,
+        3,
+        6,
+        2,
+        4,
+    ]
+
+    tokenized_prompt, tokenized_label = tokenize_prompt_and_response(
+        tokenizer, prompt, response
+    )
+    assert tokenized_prompt == expected_tokenized_prompt
+    assert tokenized_label == expected_tokenized_label
+
+    tokenized_prompt, tokenized_label = tokenize_prompt_and_response(
+        tokenizer, prompt, response, train_on_input=True
+    )
+    assert tokenized_prompt == expected_tokenized_prompt
+    assert tokenized_label == expected_tokenized_prompt
+
+
+def test_truncate_if_necessary():
+    prompt_tokens = [1, 2, 3, 4, -1]
+    label_tokens = [1, 2, 3, 4, -1]
+    max_seq_len = 5
+
+    # Test no truncation
+    truncated_prompt_tokens, truncated_label_tokens = truncate_if_necessary(
+        tokenizer=DummyTokenizer(),
+        prompt_tokens=prompt_tokens,
+        label_tokens=label_tokens,
+        max_seq_len=max_seq_len,
+    )
+    assert truncated_prompt_tokens == [1, 2, 3, 4, -1]
+    assert truncated_label_tokens == [1, 2, 3, 4, -1]
+
+    # Test truncated
+    max_seq_len = 4
+    truncated_prompt_tokens, truncated_label_tokens = truncate_if_necessary(
+        tokenizer=DummyTokenizer(),
+        prompt_tokens=prompt_tokens,
+        label_tokens=label_tokens,
+        max_seq_len=max_seq_len,
+    )
+    assert truncated_prompt_tokens == [1, 2, 3, -1]
+    assert truncated_label_tokens == [1, 2, 3, -1]

tests/torchtune/datasets/test_alpaca_dataset.py

@@ -9,9 +9,9 @@
 import pytest
 
 from tests.test_utils import get_assets_path
+from torchtune.data._common import CROSS_ENTROPY_IGNORE_IDX
 
-from torchtune.datasets._alpaca import alpaca_dataset
-from torchtune.datasets._common import CROSS_ENTROPY_IGNORE_IDX
+from torchtune.datasets import alpaca_dataset
 from torchtune.modules.tokenizer import Tokenizer