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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    RuntimeError
Message:      File 'Track_1_SD_DevData_1/Hindi/data/LICENSE.md' is encrypted, password required for extraction
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2061, in __iter__
                  batch = formatter.format_batch(pa_table)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
                  return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2161, in decode_batch
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1419, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/audio.py", line 210, in decode_example
                  f = xopen(path, "rb", download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 977, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 135, in open
                  return self.__enter__()
                         ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 103, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 1293, in open
                  f = self._open(
                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/implementations/zip.py", line 129, in _open
                  out = self.zip.open(path, mode.strip("b"), force_zip64=self.force_zip_64)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/zipfile/__init__.py", line 1675, in open
                  raise RuntimeError("File %r is encrypted, password "
              RuntimeError: File 'Track_1_SD_DevData_1/Hindi/data/LICENSE.md' is encrypted, password required for extraction

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Following the grand success of the DISPLACE 2023 and 2024 challenges, which received overwhelming participation and support from both academia and industry, we are thrilled to launch this new version focusing on advancing research in multilingual medical and conversational speech processing.

The event is organized by the Learning and Extraction of Acoustic Patterns (LEAP) Lab, Department of Electrical Engineering, IISc Bangalore, and the Department of Electronics and Communication Engineering, NITK Surathkal, in collaboration with UPES, Dehradun.

We received highly positive feedback and wide recognition for the previous challenges during INTERSPEECH 2024, where the winners were announced on stage. Building on that success, DISPLACE-M 2026 introduces new tracks, tasks, and opportunities for the research community.

Challenge Tracks

Track 1: Speaker Diarization in Multilingual Scenarios

Track 2: Automatic Speech Recognition in Multi-Dialect Settings

Track 3: Topic Identification

Track 4: Text Summarization of Medical Dialogues

Track 1 focuses on speaker diarization (“who spoke when”) in multilingual conversations involving code-mixed speech. Track 2 addresses ASR for multi-dialect speech recorded in noisy medical environments. Track 3 involves topic identification (e.g., maternal health, child nutrition, sanitation). Track 4 focuses on generating concise, clinically relevant summaries from medical audio conversations.

Baseline systems will be released for all tracks, and a leaderboard evaluation platform will be available for participants to track their progress in real time.

Important Links

Registration: https://displace2026.github.io/#registration

Timeline: https://displace2026.github.io/#timeline

Form to Express Interest: https://forms.office.com/r/U5zLg8nihB

Website: https://displace2026.github.io/

Terms and Conditions : https://displace2026.github.io/docs/Terms_and_Conditions_DISPLACE_2026.pdf

Paper can be submitted to the INTERSPEECH 2026 main session.


license: cc-by-4.0 task_categories:

  • Speaker Diarization
  • Automatic Speech Recognition
  • Topic Identification
  • summarization

language: - English - Kannada - Hindi

Instructions

  • Adhere to the Terms and Conditions document signed by your team.
  • This dataset is released for use in the DISPLACE Challenge only..
  • This dataset should not be shared with non-participants of this challenge without the consent from organisers.

Organizing Team

- Prof. Sriram Ganapathy | Associate Professor, LEAP Lab, IISc, Bangalore, India 
- Dr Dhanya E | Postdoctoral Researcher, LEAP Lab, IISc, Bangalore, India
- Noumida A | Postdoctoral Researcher, LEAP Lab, IISc, Bangalore, India
- Ankita Meena | M.Tech Student, IISc Bangalore, India
- Victor Azad | M.Tech Student, IISc Bangalore, India
- Manas Sameer Nanivadekar | Research Intern, IISc Bangalore, India
- Prof. Deepu Vijayasenan | Professor Professor, NITK, Surathkal, India
- Pratik Roy Chowdhuri | Research Scholar, NITK, Surathkal, India
- Ashwini Nagaraj Shenoy | Junior Research Fellow, NITK Surathkal, India
- Supreeth A | Junior Research Fellow, NITK Surathkal, India
- Dr. Kalluri Shareef Babu | Assistant Professor, UPES Dehradun, India
- Dr. Srikanth Raj Chetupalli | Assistant Professor, IIT Bombay, India
  • Indian Institute of Science (IISc), Bangalore-560012, India
  • National Institute of Technology Karnataka (NITK), Surathkal-575025, India
  • UPES Dehradun, Uttarakhand-248007, India
  • Indian Institute of Technology Bombay (IITB), Mumbai-400076, India

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