diff --git a/flash/text/__init__.py b/flash/text/__init__.py
index 8ac71bdfb5..5a25ab337e 100644
--- a/flash/text/__init__.py
+++ b/flash/text/__init__.py
@@ -1,5 +1,6 @@
 from flash.text.classification import TextClassificationData, TextClassifier  # noqa: F401
 from flash.text.seq2seq import (  # noqa: F401
+    QuestionAnsweringData,
     Seq2SeqData,
     Seq2SeqTask,
     SummarizationData,
diff --git a/flash/text/seq2seq/__init__.py b/flash/text/seq2seq/__init__.py
index 1c30bc9d85..8dd7ad1ebb 100644
--- a/flash/text/seq2seq/__init__.py
+++ b/flash/text/seq2seq/__init__.py
@@ -1,3 +1,4 @@
 from flash.text.seq2seq.core import Seq2SeqData, Seq2SeqFreezeEmbeddings, Seq2SeqTask  # noqa: F401
+from flash.text.seq2seq.question_answering import QuestionAnsweringData  # noqa: F401
 from flash.text.seq2seq.summarization import SummarizationData, SummarizationTask  # noqa: F401
 from flash.text.seq2seq.translation import TranslationData, TranslationTask  # noqa: F401
diff --git a/flash/text/seq2seq/question_answering/__init__.py b/flash/text/seq2seq/question_answering/__init__.py
new file mode 100644
index 0000000000..7892b34432
--- /dev/null
+++ b/flash/text/seq2seq/question_answering/__init__.py
@@ -0,0 +1 @@
+from flash.text.seq2seq.question_answering.data import QuestionAnsweringData  # noqa: F401
diff --git a/flash/text/seq2seq/question_answering/data.py b/flash/text/seq2seq/question_answering/data.py
new file mode 100644
index 0000000000..b3d42662a5
--- /dev/null
+++ b/flash/text/seq2seq/question_answering/data.py
@@ -0,0 +1,47 @@
+# Copyright The PyTorch Lightning team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from typing import Callable, Dict, Optional, Union
+
+from flash.text.seq2seq.core.data import Seq2SeqData, Seq2SeqPostprocess, Seq2SeqPreprocess
+
+
+class QuestionAnsweringPreprocess(Seq2SeqPreprocess):
+
+    def __init__(
+        self,
+        train_transform: Optional[Dict[str, Callable]] = None,
+        val_transform: Optional[Dict[str, Callable]] = None,
+        test_transform: Optional[Dict[str, Callable]] = None,
+        predict_transform: Optional[Dict[str, Callable]] = None,
+        backbone: str = "t5-small",
+        max_source_length: int = 128,
+        max_target_length: int = 128,
+        padding: Union[str, bool] = 'max_length'
+    ):
+        super().__init__(
+            train_transform=train_transform,
+            val_transform=val_transform,
+            test_transform=test_transform,
+            predict_transform=predict_transform,
+            backbone=backbone,
+            max_source_length=max_source_length,
+            max_target_length=max_target_length,
+            padding=padding,
+        )
+
+
+class QuestionAnsweringData(Seq2SeqData):
+
+    preprocess_cls = QuestionAnsweringPreprocess
+    postprocess_cls = Seq2SeqPostprocess
diff --git a/tests/text/seq2seq/question_answering/__init__.py b/tests/text/seq2seq/question_answering/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/tests/text/seq2seq/question_answering/test_data.py b/tests/text/seq2seq/question_answering/test_data.py
new file mode 100644
index 0000000000..2db170464e
--- /dev/null
+++ b/tests/text/seq2seq/question_answering/test_data.py
@@ -0,0 +1,108 @@
+# Copyright The PyTorch Lightning team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import os
+from pathlib import Path
+
+import pytest
+
+from flash.text import QuestionAnsweringData
+from tests.helpers.utils import _TEXT_TESTING
+
+TEST_BACKBONE = "sshleifer/tiny-mbart"  # super small model for testing
+
+TEST_CSV_DATA = """input,target
+this is a question one,this is an answer one
+this is a question two,this is an answer two
+this is a question three,this is an answer three
+"""
+
+TEST_JSON_DATA = """
+{"input": "this is a question one","target":"this is an answer one"}
+{"input": "this is a question two","target":"this is an answer two"}
+{"input": "this is a question three","target":"this is an answer three"}
+"""
+
+
+def csv_data(tmpdir):
+    path = Path(tmpdir) / "data.csv"
+    path.write_text(TEST_CSV_DATA)
+    return path
+
+
+def json_data(tmpdir):
+    path = Path(tmpdir) / "data.json"
+    path.write_text(TEST_JSON_DATA)
+    return path
+
+
+@pytest.mark.skipif(os.name == "nt", reason="Huggingface timing out on Windows")
+@pytest.mark.skipif(not _TEXT_TESTING, reason="text libraries aren't installed.")
+def test_from_csv(tmpdir):
+    csv_path = csv_data(tmpdir)
+    dm = QuestionAnsweringData.from_csv("input", "target", backbone=TEST_BACKBONE, train_file=csv_path, batch_size=1)
+    batch = next(iter(dm.train_dataloader()))
+    assert "labels" in batch
+    assert "input_ids" in batch
+
+
+@pytest.mark.skipif(os.name == "nt", reason="Huggingface timing out on Windows")
+@pytest.mark.skipif(not _TEXT_TESTING, reason="text libraries aren't installed.")
+def test_from_files(tmpdir):
+    csv_path = csv_data(tmpdir)
+    dm = QuestionAnsweringData.from_csv(
+        "input",
+        "target",
+        backbone=TEST_BACKBONE,
+        train_file=csv_path,
+        val_file=csv_path,
+        test_file=csv_path,
+        batch_size=1,
+    )
+    batch = next(iter(dm.val_dataloader()))
+    assert "labels" in batch
+    assert "input_ids" in batch
+
+    batch = next(iter(dm.test_dataloader()))
+    assert "labels" in batch
+    assert "input_ids" in batch
+
+
+@pytest.mark.skipif(not _TEXT_TESTING, reason="text libraries aren't installed.")
+def test_postprocess_tokenizer(tmpdir):
+    """Tests that the tokenizer property in ``SummarizationPostprocess`` resolves correctly when a different backbone is
+    used.
+    """
+    backbone = "sshleifer/bart-tiny-random"
+    csv_path = csv_data(tmpdir)
+    dm = QuestionAnsweringData.from_csv(
+        "input",
+        "target",
+        backbone=backbone,
+        train_file=csv_path,
+        batch_size=1,
+    )
+    pipeline = dm.data_pipeline
+    pipeline.initialize()
+    assert pipeline._postprocess_pipeline.backbone == backbone
+    assert pipeline._postprocess_pipeline.tokenizer is not None
+
+
+@pytest.mark.skipif(os.name == "nt", reason="Huggingface timing out on Windows")
+@pytest.mark.skipif(not _TEXT_TESTING, reason="text libraries aren't installed.")
+def test_from_json(tmpdir):
+    json_path = json_data(tmpdir)
+    dm = QuestionAnsweringData.from_json("input", "target", backbone=TEST_BACKBONE, train_file=json_path, batch_size=1)
+    batch = next(iter(dm.train_dataloader()))
+    assert "labels" in batch
+    assert "input_ids" in batch