Datasets:

lightly-ai
/

epic-kitchens-100-clips

narration_id string	participant_id string	video_id string	narration_timestamp string	start_timestamp string	stop_timestamp string	start_frame int64	stop_frame int64	narration string	verb string	verb_class int64	noun string	noun_class int64	all_nouns string	all_noun_classes string
P01_01_0	P01	P01_01	00:00:01.089	00:00:00.14	00:00:03.37	8	202	open door	open	3	door	3	['door']	[3]
P01_01_1	P01	P01_01	00:00:02.629	00:00:04.37	00:00:06.17	262	370	turn on light	turn-on	6	light	114	['light']	[114]
P01_01_10	P01	P01_01	00:00:23.340	00:00:24.97	00:00:26.20	1,498	1,572	open drawer	open	3	drawer	8	['drawer']	[8]
P01_01_100	P01	P01_01	00:07:57.919	00:07:59.75	00:08:00.88	28,785	28,852	take cup	take	0	cup	13	['cup']	[13]
P01_01_101	P01	P01_01	00:08:00.020	00:08:01.47	00:08:02.21	28,888	28,932	open cupboard	open	3	cupboard	3	['cupboard']	[3]
P01_01_102	P01	P01_01	00:08:01.229	00:08:02.13	00:08:03.00	28,927	28,980	put cup into cupboard	put-into	5	cup	13	['cup', 'cupboard']	[13, 3]
P01_01_103	P01	P01_01	00:08:03.919	00:08:05.22	00:08:07.21	29,113	29,232	take container and lid	take	0	container	21	['container', 'lid']	[21, 6]
P01_01_104	P01	P01_01	00:08:07.610	00:08:08.38	00:08:09.12	29,302	29,347	put container on top of counter	put-on	1	container	21	['container', 'top:counter']	[21, 42]
P01_01_105	P01	P01_01	00:08:09.860	00:08:12.00	00:08:12.74	29,520	29,564	open container	open	3	container	21	['container']	[21]
P01_01_106	P01	P01_01	00:08:12.900	00:08:13.22	00:08:14.37	29,593	29,662	put container inside container	put-inside	5	container	21	['container', 'container']	[21, 21]
P01_01_107	P01	P01_01	00:08:14.550	00:08:15.80	00:08:16.99	29,748	29,819	close lid	close	4	lid	6	['lid']	[6]
P01_01_108	P01	P01_01	00:08:18.039	00:08:19.64	00:08:20.60	29,978	30,036	put container in cupboard	put-in	5	container	21	['container', 'cupboard']	[21, 3]
P01_01_109	P01	P01_01	00:08:21.050	00:08:22.35	00:08:23.31	30,141	30,198	take plate	take	0	plate	2	['plate']	[2]
P01_01_11	P01	P01_01	00:00:27.960	00:00:29.22	00:00:31.32	1,753	1,879	close fridge	close	4	fridge	12	['fridge']	[12]
P01_01_110	P01	P01_01	00:08:25.669	00:08:24.66	00:08:27.92	30,279	30,475	put plate down	put-down	1	plate	2	['plate']	[2]
P01_01_111	P01	P01_01	00:08:26.759	00:08:28.16	00:08:29.94	30,489	30,596	open drawer	open	3	drawer	8	['drawer']	[8]
P01_01_112	P01	P01_01	00:08:29.879	00:08:29.29	00:08:31.54	30,557	30,692	take something	take	0	drawer	8	['drawer']	[8]
P01_01_113	P01	P01_01	00:08:32.200	00:08:32.66	00:08:34.43	30,759	30,865	put down something	put-down	1	drawer	8	['drawer']	[8]
P01_01_114	P01	P01_01	00:08:35.200	00:08:36.81	00:08:38.05	31,008	31,082	open drawer	open	3	drawer	8	['drawer']	[8]
P01_01_115	P01	P01_01	00:08:36.460	00:08:37.88	00:08:39.13	31,072	31,147	take fork	take	0	fork	14	['fork']	[14]
P01_01_116	P01	P01_01	00:08:37.650	00:08:39.34	00:08:40.25	31,160	31,215	put down fork	put-down	1	fork	14	['fork']	[14]
P01_01_117	P01	P01_01	00:08:39.140	00:08:41.19	00:08:42.08	31,271	31,324	take spatula	take	0	spatula	20	['spatula']	[20]
P01_01_118	P01	P01_01	00:08:40.730	00:08:41.92	00:08:48.56	31,315	31,713	stir vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_12	P01	P01_01	00:00:29.539	00:00:36.68	00:00:37.78	2,200	2,266	put down vegetables	put-down	1	vegetable	94	['vegetable']	[94]
P01_01_120	P01	P01_01	00:09:00.560	00:09:02.04	00:09:02.98	32,522	32,578	take container	take	0	container	21	['container']	[21]
P01_01_121	P01	P01_01	00:09:04.130	00:09:06.39	00:09:07.42	32,783	32,845	open fridge	open	3	fridge	12	['fridge']	[12]
P01_01_122	P01	P01_01	00:09:05.270	00:09:07.40	00:09:09.01	32,844	32,940	put container into fridge	put-into	5	container	21	['container', 'fridge']	[21, 12]
P01_01_123	P01	P01_01	00:09:07.270	00:09:09.28	00:09:10.03	32,956	33,001	close fridge	close	4	fridge	12	['fridge']	[12]
P01_01_124	P01	P01_01	00:09:11.520	00:09:13.41	00:09:14.49	33,204	33,269	take spatula	take	0	spatula	20	['spatula']	[20]
P01_01_125	P01	P01_01	00:09:12.520	00:09:14.66	00:09:18.50	33,279	33,510	stir vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_126	P01	P01_01	00:09:19.440	00:09:21.12	00:09:22.32	33,667	33,739	take grater	take	0	grater	96	['grater']	[96]
P01_01_127	P01	P01_01	00:09:30.260	00:09:21.12	00:09:22.52	33,667	33,751	take grater	take	0	grater	96	['grater']	[96]
P01_01_128	P01	P01_01	00:09:20.670	00:09:22.08	00:09:22.81	33,724	33,768	take carrots	take	0	carrot	41	['carrot']	[41]
P01_01_129	P01	P01_01	00:09:23.250	00:09:24.25	00:09:28.84	33,855	34,130	cut carrots	cut	7	carrot	41	['carrot']	[41]
P01_01_13	P01	P01_01	00:00:39.780	00:00:41.79	00:00:42.55	2,507	2,553	open cupboard	open	3	cupboard	3	['cupboard']	[3]
P01_01_130	P01	P01_01	00:09:24.250	00:09:29.18	00:09:31.02	34,150	34,261	drop grater	drop	59	grater	96	['grater']	[96]
P01_01_131	P01	P01_01	00:09:34.890	00:09:34.42	00:09:46.92	34,465	35,215	grate carrots	grate	77	carrot	41	['carrot']	[41]
P01_01_132	P01	P01_01	00:09:49.030	00:09:47.02	00:09:55.58	35,221	35,734	still grating carrots	grate	77	carrot	41	['carrot']	[41]
P01_01_133	P01	P01_01	00:10:13.600	00:09:50.29	00:10:00.72	35,417	36,043	still grating carrot	grate	77	carrot	41	['carrot']	[41]
P01_01_134	P01	P01_01	00:10:22.950	00:10:02.19	00:10:38.99	36,131	38,339	still grating carrot	grate	77	carrot	41	['carrot']	[41]
P01_01_135	P01	P01_01	00:10:37.680	00:10:39.51	00:10:40.27	38,370	38,416	put down grater	put-down	1	grater	96	['grater']	[96]
P01_01_136	P01	P01_01	00:10:39.580	00:10:41.81	00:10:42.83	38,508	38,569	throw carrot into bin	throw-into	13	carrot	41	['carrot', 'bin']	[41, 36]
P01_01_137	P01	P01_01	00:10:42.690	00:10:44.49	00:10:45.33	38,669	38,719	take grater	take	0	grater	96	['grater']	[96]
P01_01_138	P01	P01_01	00:10:48.120	00:10:49.68	00:10:50.77	38,980	39,046	put down grater	put-down	1	grater	96	['grater']	[96]
P01_01_139	P01	P01_01	00:10:50.470	00:10:52.77	00:10:53.83	39,166	39,229	throw carrot into bin	throw-into	13	carrot	41	['carrot', 'bin']	[41, 36]
P01_01_14	P01	P01_01	00:00:44.140	00:00:43.20	00:00:46.64	2,592	2,798	take cutting board	take	0	board:cutting	18	['board:cutting']	[18]
P01_01_140	P01	P01_01	00:10:52.590	00:10:54.75	00:10:55.75	39,285	39,345	take spatula	take	0	spatula	20	['spatula']	[20]
P01_01_141	P01	P01_01	00:10:53.780	00:10:55.73	00:11:00.95	39,343	39,657	stir vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_142	P01	P01_01	00:11:01.010	00:11:02.55	00:11:03.55	39,753	39,813	open cupboard	open	3	cupboard	3	['cupboard']	[3]
P01_01_143	P01	P01_01	00:11:04.990	00:11:03.55	00:11:05.30	39,813	39,918	take saucepan	take	0	saucepan	5	['saucepan']	[5]
P01_01_144	P01	P01_01	00:11:10.540	00:11:07.31	00:11:14.16	40,038	40,449	put down saucepan	put-down	1	saucepan	5	['saucepan']	[5]
P01_01_145	P01	P01_01	00:11:13.870	00:11:15.00	00:11:16.99	40,500	40,619	turn hob	turn	23	hob	24	['hob']	[24]
P01_01_146	P01	P01_01	00:11:18.320	00:11:19.51	00:11:22.29	40,770	40,937	take kettle	take	0	kettle	44	['kettle']	[44]
P01_01_147	P01	P01_01	00:11:22.750	00:11:23.41	00:11:37.36	41,004	41,841	pour water into saucepan	pour-into	9	water	27	['water', 'saucepan']	[27, 5]
P01_01_148	P01	P01_01	00:11:25.830	00:11:26.55	00:11:31.55	41,193	41,493	see boiling water	see	38	water:boiling	27	['water:boiling']	[27]
P01_01_149	P01	P01_01	00:11:38.100	00:11:39.07	00:11:41.91	41,944	42,114	put down kettle	put-down	1	kettle	44	['kettle']	[44]
P01_01_15	P01	P01_01	00:00:45.649	00:00:46.45	00:00:47.81	2,787	2,868	put down cutting board	put-down	1	board:cutting	18	['board:cutting']	[18]
P01_01_150	P01	P01_01	00:11:42.520	00:11:43.86	00:11:45.41	42,231	42,324	take olive oil	take	0	oil:olive	31	['oil:olive']	[31]
P01_01_151	P01	P01_01	00:11:45.880	00:11:47.88	00:11:53.08	42,472	42,784	pour oil	pour	9	oil	31	['oil']	[31]
P01_01_152	P01	P01_01	00:11:53.320	00:11:53.14	00:11:56.39	42,788	42,983	close oil	close	4	oil	31	['oil']	[31]
P01_01_153	P01	P01_01	00:11:54.480	00:11:56.49	00:11:57.82	42,989	43,069	put down oil	put-down	1	oil	31	['oil']	[31]
P01_01_154	P01	P01_01	00:11:56.240	00:11:57.92	00:11:58.80	43,075	43,128	take spatula	take	0	spatula	20	['spatula']	[20]
P01_01_155	P01	P01_01	00:11:57.770	00:11:59.03	00:12:00.04	43,141	43,202	take cutting board with onion	take	0	board:cutting	18	['board:cutting', 'onion']	[18, 16]
P01_01_156	P01	P01_01	00:11:59.230	00:12:00.45	00:12:02.38	43,227	43,342	pouring onion	pour	9	onion	16	['onion']	[16]
P01_01_157	P01	P01_01	00:12:01.540	00:12:02.45	00:12:03.55	43,347	43,413	put down cutting board	put-down	1	board:cutting	18	['board:cutting']	[18]
P01_01_158	P01	P01_01	00:12:02.540	00:12:03.70	00:12:11.48	43,422	43,888	stir vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_159	P01	P01_01	00:12:19.370	00:12:10.37	00:12:30.08	43,822	45,004	still stirring vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_16	P01	P01_01	00:00:46.870	00:00:47.75	00:00:48.76	2,865	2,925	close cupboard	close	4	cupboard	3	['cupboard']	[3]
P01_01_160	P01	P01_01	00:12:29.000	00:12:30.39	00:12:31.52	45,023	45,091	take salt	take	0	salt	38	['salt']	[38]
P01_01_161	P01	P01_01	00:12:30.000	00:12:31.62	00:12:33.15	45,097	45,189	open salt	open	3	salt	38	['salt']	[38]
P01_01_162	P01	P01_01	00:12:31.020	00:12:32.75	00:12:34.00	45,165	45,240	put down salt	put-down	1	salt	38	['salt']	[38]
P01_01_163	P01	P01_01	00:12:32.020	00:12:33.09	00:12:34.49	45,185	45,269	open drawer	open	3	drawer	8	['drawer']	[8]
P01_01_164	P01	P01_01	00:12:34.510	00:12:34.95	00:12:36.70	45,297	45,402	take spoon	take	0	spoon	1	['spoon']	[1]
P01_01_165	P01	P01_01	00:12:36.330	00:12:37.80	00:12:41.59	45,468	45,695	pour salt onto spoon	pour-onto	9	salt	38	['salt', 'spoon']	[38, 1]
P01_01_166	P01	P01_01	00:12:40.260	00:12:42.15	00:12:43.65	45,729	45,819	pour salt into water	pour-into	9	salt	38	['salt', 'water']	[38, 27]
P01_01_167	P01	P01_01	00:12:41.640	00:12:42.73	00:12:44.37	45,763	45,862	stir water	stir	10	water	27	['water']	[27]
P01_01_168	P01	P01_01	00:12:43.290	00:12:44.91	00:12:45.76	45,894	45,945	close salt	close	4	salt	38	['salt']	[38]
P01_01_169	P01	P01_01	00:12:44.460	00:12:46.10	00:12:46.78	45,966	46,006	put down spoon	put-down	1	spoon	1	['spoon']	[1]
P01_01_17	P01	P01_01	00:00:50.360	00:00:51.66	00:00:53.00	3,099	3,180	open drawer	open	3	drawer	8	['drawer']	[8]
P01_01_170	P01	P01_01	00:12:46.130	00:12:47.50	00:12:49.40	46,050	46,164	put down salt	put-down	1	salt	38	['salt']	[38]
P01_01_171	P01	P01_01	00:12:48.110	00:12:49.54	00:12:50.27	46,172	46,216	take spatula	take	0	spatula	20	['spatula']	[20]
P01_01_172	P01	P01_01	00:12:51.740	00:12:50.26	00:12:51.32	46,215	46,279	stir vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_173	P01	P01_01	00:12:50.660	00:12:51.40	00:12:52.66	46,284	46,359	adjust hob	adjust	17	hob	24	['hob']	[24]
P01_01_174	P01	P01_01	00:12:49.110	00:12:54.72	00:13:28.26	46,483	48,495	stir vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_175	P01	P01_01	00:13:06.870	00:12:55.67	00:13:01.63	46,540	46,897	still stirring vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_176	P01	P01_01	00:13:27.210	00:13:09.33	00:13:39.66	47,359	49,179	still stirring vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_177	P01	P01_01	00:13:38.450	00:13:39.54	00:13:40.87	49,172	49,252	put down spatula	put-down	1	spatula	20	['spatula']	[20]
P01_01_178	P01	P01_01	00:13:39.560	00:13:41.22	00:13:42.41	49,273	49,344	open cupboard	open	3	cupboard	3	['cupboard']	[3]
P01_01_179	P01	P01_01	00:13:43.300	00:13:42.41	00:13:45.17	49,344	49,510	take something	take	0	cupboard	3	['cupboard']	[3]
P01_01_18	P01	P01_01	00:00:54.670	00:00:53.50	00:00:56.00	3,210	3,360	take knife	take	0	knife	4	['knife']	[4]
P01_01_180	P01	P01_01	00:13:44.300	00:13:44.28	00:13:45.77	49,456	49,546	put down something	put-down	1	knife	4	['knife']	[4]
P01_01_181	P01	P01_01	00:13:46.370	00:13:46.91	00:13:48.61	49,614	49,716	take rice	take	0	rice	55	['rice']	[55]
P01_01_182	P01	P01_01	00:13:51.130	00:13:49.23	00:13:55.31	49,753	50,118	open rice	open	3	rice	55	['rice']	[55]
P01_01_183	P01	P01_01	00:13:57.640	00:13:59.14	00:14:00.44	50,348	50,426	put down rice	put-down	1	rice	55	['rice']	[55]
P01_01_184	P01	P01_01	00:13:58.950	00:14:00.71	00:14:01.64	50,442	50,498	take spatula	take	0	spatula	20	['spatula']	[20]
P01_01_185	P01	P01_01	00:13:59.950	00:14:01.74	00:14:07.27	50,504	50,836	stir vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_186	P01	P01_01	00:14:14.190	00:14:07.37	00:14:24.11	50,842	51,846	still stirring vegetables	stir	10	vegetable	94	['vegetable']	[94]
P01_01_187	P01	P01_01	00:14:22.410	00:14:24.26	00:14:25.31	51,855	51,918	put down spatula	put-down	1	spatula	20	['spatula']	[20]
P01_01_188	P01	P01_01	00:14:24.060	00:14:26.00	00:14:27.27	51,960	52,036	take tofu	take	0	tofu	81	['tofu']	[81]
P01_01_189	P01	P01_01	00:14:28.250	00:14:29.59	00:14:31.03	52,175	52,261	take knife	take	0	knife	4	['knife']	[4]

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EPIC-KITCHENS-100 Extracted Clips

37,455 egocentric kitchen clips, one per narrated action, ready to explore in LightlyStudio. Search clips with natural language, browse them by narration, verb and noun, and spot clips whose narration doesn't match the video.

🚀 Explore it in LightlyStudio

hf download lightly-ai/epic-kitchens-100-clips --repo-type dataset --local-dir epic-kitchens-100-clips
cd epic-kitchens-100-clips
pip install -r requirements.txt

python lightly_studio_1_load_videos.py           # index and embed the clips
python lightly_studio_2_load_anotations_fast.py  # attach narrations and action labels
python lightly_studio_3_start_gui.py             # open LightlyStudio in your browser

What you get:

Text search over all clips, e.g. "cutting an onion" or "opening the fridge".
Narrations and action labels from EPIC-KITCHENS-100 attached to every clip, ready to filter and sort.
Caption similarity plugin that scores how well each clip matches its narration, to surface noisy or mislabeled annotations.

For the full walkthrough, see the tutorial.

About the dataset

The clips are extracted from the EPIC-KITCHENS-100 extension, i.e. the videos not contained in EPIC-KITCHENS-55 (24GB in total).

clips/{participant_id}/{narration_id}.mp4: one clip for every narration in the action annotations. Clips are downscaled and compressed for easier handling. The extraction script is cut_clips.py.
epic-kitchens-100-annotations/: the original annotation files.

Built by Lightly

LightlyStudio: curate, annotate and manage image and video datasets.
LightlyTrain: pretrain, fine-tune and distill vision models.

Citation

The credit is due to the original authors of the EPIC-KITCHENS-100 dataset: https://epic-kitchens.github.io

@ARTICLE{Damen2021PAMI,
   title={The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines},
   author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria  and Fidler, Sanja and 
           Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan 
           and Perrett, Toby and Price, Will and Wray, Michael},
   journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
   year={2021},
   volume={43},
   number={11},
   pages={4125-4141},
   doi={10.1109/TPAMI.2020.2991965}
}

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Models trained or fine-tuned on lightly-ai/epic-kitchens-100-clips

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