Fix README: canonical repo id, arXiv citation, changelog wording

#4
by deovratmehendale - opened
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  1. README.md +23 -15
README.md CHANGED
@@ -132,6 +132,8 @@ configs:
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  A multilingual joint diarization and ASR benchmark for Indian languages, spanning all **22 scheduled languages** of India with approximately **108 hours** of natural multi-speaker audio.
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  ## Dataset Summary
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  Indic DiarBench is a conversational speech benchmark designed to evaluate speaker-attributed ASR in realistic multi-speaker settings for Indian languages. All annotations are human-corrected with time-aligned, speaker-attributed transcriptions. The dataset captures conversational nuances prevalent in Indian speech, such as English code-mixing, dialectal variation, and frequent speaker overlap.
@@ -232,7 +234,7 @@ source medium. Its form is `<language>_<condition>_<nnn>`, where condition is
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  from datasets import load_dataset
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  # Load a specific language
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- ds = load_dataset("sarvam/indic-diarbench-new", "Hindi", split="test")
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  sample = ds[0]
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  print(f"Sample: {sample['sample_id']}")
@@ -275,30 +277,36 @@ Duration-weighted aggregate metrics across all three acoustic conditions:
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  | Multimodal LLMs | GPT-4o | 36.2 | 83.1 | 40.4 |
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  | | Gemini 3 Pro | 74.0 | 58.9 | 33.0 |
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- ## Relation to the original release
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- Derived from `sarvamai/indic-diarbench`. Audio is byte-identical and all
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- annotations, timings and counts are unchanged; only the identifier and language
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- columns differ.
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- 1. **`language` is now the full language name everywhere.** In the original,
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- the 210 in-the-wild samples used ISO codes (`bn`, `gu`, `hi`, `kn`, `ml`,
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- `mr`, `or`, `pa`, `ta`, `te`) while the 954 near- and far-field samples used
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- full names, so `language` was not comparable across `dataset_type`.
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- 2. **`file_name` replaced by `recording_id`.** The original `file_name` held
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- the source filename, which for in-the-wild samples was the YouTube video id;
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- it was also duplicated in `audio.path`. Both are now anonymised, with
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  `audio.path` set to `<sample_id>.wav`. `recording_id` retains the one piece
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  of information that `file_name` carried and users need: which clips came from
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  the same source recording.
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  ## Citation
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  ```bibtex
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- @inproceedings{mehendale2026indicdiarbench,
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  title={Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages},
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- author={Mehendale, Deovrat and Mehndiratta, Aditya and Rathi, Dhruv and Bhogale, Kaushal and Khapra, Mitesh M.},
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- year={2026}
 
 
 
 
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  }
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  ```
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  A multilingual joint diarization and ASR benchmark for Indian languages, spanning all **22 scheduled languages** of India with approximately **108 hours** of natural multi-speaker audio.
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+ **Paper:** [Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages](https://arxiv.org/abs/2607.23808) (Interspeech 2026)
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+
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  ## Dataset Summary
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  Indic DiarBench is a conversational speech benchmark designed to evaluate speaker-attributed ASR in realistic multi-speaker settings for Indian languages. All annotations are human-corrected with time-aligned, speaker-attributed transcriptions. The dataset captures conversational nuances prevalent in Indian speech, such as English code-mixing, dialectal variation, and frequent speaker overlap.
 
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  from datasets import load_dataset
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  # Load a specific language
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+ ds = load_dataset("sarvamai/indic-diarbench", "Hindi", split="test")
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  sample = ds[0]
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  print(f"Sample: {sample['sample_id']}")
 
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  | Multimodal LLMs | GPT-4o | 36.2 | 83.1 | 40.4 |
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  | | Gemini 3 Pro | 74.0 | 58.9 | 33.0 |
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+ ## Changelog (August 2026)
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+ The August 2026 release of [`sarvamai/indic-diarbench`](https://huggingface.co/datasets/sarvamai/indic-diarbench)
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+ updated the schema. Audio bytes and all annotations, timings, and counts are
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+ unchanged.
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+ 1. **`language` is now the full language name everywhere.** Previously, the
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+ 210 in-the-wild samples used ISO codes (`bn`, `gu`, `hi`, `kn`, `ml`, `mr`,
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+ `or`, `pa`, `ta`, `te`) while the 954 near- and far-field samples used full
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+ names, so `language` was not comparable across `dataset_type`.
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+ 2. **`file_name` replaced by `recording_id`.** The former `file_name` column
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+ held the source filename, which for in-the-wild samples was the YouTube video
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+ id; it was also duplicated in `audio.path`. Both are now anonymised, with
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  `audio.path` set to `<sample_id>.wav`. `recording_id` retains the one piece
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  of information that `file_name` carried and users need: which clips came from
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  the same source recording.
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  ## Citation
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+ If you use this dataset, please cite:
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+
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  ```bibtex
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+ @misc{mehendale2026indicdiarbenchmultilingualjoint,
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  title={Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages},
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+ author={Deovrat Mehendale and Aditya Mehndiratta and Dhruv Rathi and Kaushal Bhogale and Mitesh M. Khapra},
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+ year={2026},
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+ eprint={2607.23808},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2607.23808},
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  }
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  ```
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